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A premier construction firm invites a licensed Senior Structural Engineer to join its design team in St. Louis. The successful candidate will collaborate with in-house teams to provide Structural Design and Quality Assurance on industrial projects. Applicants should possess a Bachelor's Degree in Engineering, at least 5 years of commercial project design experience, and ideally a PE license. This full-time role offers competitive compensation and extensive benefits in a highly regarded workplace.
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About AustalAustal is Australia’s global shipbuilder, Defence prime contractor and maritime technology partner of choice, designing, constructing, and supporting defence and commercial vessels for the world’s leading operators. The company operates in Australia, the USA, Philippines, and Vietnam. Austal is delivering multiple naval shipbuilding and sustainment programs for the Royal Australian Navy, Australian Border Force, and the Department of Defence, employing approximately 1,000 people in facilities in located Western Australia, Queensland, and the Northern Territory. Austal has entered into a landmark Strategic Shipbuilding Agreement (SSA) with the Commonwealth of Australia, launching a new era of continuous naval shipbuilding within the Henderson Defence Precinct and across Western Australia. As Australia’s Strategic Shipbuilder, Austal will start by delivering eighteen Landing Craft Medium and eight Landing Craft Heavy vessels for the Australian Army. The SSA will drive significant growth across our industry and workforce, as we deliver existing and future programs under a long-term partnership. Through effective collaboration with our supply chain partners, Austal is driving innovation, developing sovereign capability, and creating lasting opportunities for Australian industry and workers. To support this growth, we are building a highly skilled team to engage with local industry and supply chains, and contribute to complex, large-scale projects that reflect Austal’s proven capabilities and trusted performance. About the OpportunityLead the implementation and application of a Systems Engineering framework, producing artefacts that uphold Austal’s standards and reputation throughout the project lifecycle. What’s InvolvedDeliver Systems Engineering artefacts on time and to required standards. Achieve system acceptance by delivering the digital product.Lead mandatory Systems Reviews as per SSA Program System Review Plan.Lead and mentor the Systems Engineering team.Maintain strong client relationships and act as a key technical contact.Report engineering risks and propose mitigation strategies.Manage engineering changes to maintain design integrity.Support continuous improvement initiatives.Contribute to the delivery of the broader engineering program objectives. Desirable Skills / Experience / Attributes:Essential:Engineering degree or related discipline.5+ years in Systems Engineering or similar field.Proven experience in complex projects, change management, and continuous improvement.Chartered Professional Engineer (CPEng) or ability to obtain.Desirable:Experience in complex project environments and design teams.Knowledge of quality assurance, requirements management, and configuration management.Familiarity with PLM toolsets and documentation for capability delivery.Membership with SESA or INCOSE. Why AustalCompetitive compensation and benefits package.Professional development and training opportunities.A supportive and dynamic work environment.Opportunities for career advancement within our growing organisation. Our global team is guided by a universal set of values that describe the focus of our efforts. Our goal is for all our decisions and actions to reflect these core values. We believe that putting our values into practice creates the greatest benefits for our shareholders, customers, employees, suppliers, and communities in which we serve. Excellence - Customer Focus - Integrity - Team Work At Austal we are committed to providing a safe and inclusive work environment for all. We believe that achieving greater diversity will enhance our operations and as such we actively encourage Aboriginal & Torres Strait Islanders, people of all backgrounds, ages, sexual orientation, and those with Disability to apply. AUD Henderson6166 # Systems Engineering LeadAbout AustalAustal is Australia’s global shipbuilder, Defence prime contractor and maritime technology partner of choice, designing, constructing, and supporting defence and commercial vessels for the world’s leading operators. The company operates in Australia, the USA, Philippines, and Vietnam.Austal is delivering multiple naval shipbuilding and sustainment programs for the Royal Australian Navy, Australian Border Force, and the Department of Defence, employing approximately 1,000 people in facilities in located Western Australia, Queensland, and the Northern Territory.Austal has entered into a landmark Strategic Shipbuilding Agreement (SSA) with the Commonwealth of Australia, launching a new era of continuous naval shipbuilding within the Henderson Defence Precinct and across Western Australia. As Australia’s Strategic Shipbuilder, Austal will start by delivering eighteen Landing Craft Medium and eight Landing Craft Heavy vessels for the Australian Army.The SSA will drive significant growth across our industry and workforce, as we deliver existing and future programs under a long-term partnership. Through effective collaboration with our supply chain partners, Austal is driving innovation, developing sovereign capability, and creating lasting opportunities for Australian industry and workers.To support this growth, we are building a highly skilled team to engage with local industry and supply chains, and contribute to complex, large-scale projects that reflect Austal’s proven capabilities and trusted performance.About the OpportunityLead the implementation and application of a Systems Engineering framework, producing artefacts that uphold Austal’s standards and reputation throughout the project lifecycle.What’s Involved* Deliver Systems Engineering artefacts on time and to required standards.* Achieve system acceptance by delivering the digital product.* Lead mandatory Systems Reviews as per SSA Program System Review Plan.* Lead and mentor the Systems Engineering team.* Maintain strong client relationships and act as a key technical contact.* Report engineering risks and propose mitigation strategies.* Manage engineering changes to maintain design integrity.* Support continuous improvement initiatives.* Contribute to the delivery of the broader engineering program objectives.Desirable Skills / Experience / Attributes:Essential:* Engineering degree or related discipline.* 5+ years in Systems Engineering or similar field.* Proven experience in complex projects, change management, and continuous improvement.* Chartered Professional Engineer (CPEng) or ability to obtain.Desirable:* Experience in complex project environments and design teams.* Knowledge of quality assurance, requirements management, and configuration management.* Familiarity with PLM toolsets and documentation for capability delivery.* Membership with SESA or INCOSE.Why Austal* Competitive compensation and benefits package.* Professional development and training opportunities.* A supportive and dynamic work environment.* Opportunities for career advancement within our growing organisation.Our global team is guided by a universal set of values that describe the focus of our efforts. Our goal is for all our decisions and actions to reflect these core values. We believe that putting our values into practice creates the greatest benefits for our shareholders, customers, employees, suppliers, and communities in which we serve.Excellence - Customer Focus - Integrity - Team WorkAt Austal we are committed to providing a safe and inclusive work environment for all. We believe that achieving greater diversity will enhance our operations and as such we actively encourage Aboriginal & Torres Strait Islanders, people of all backgrounds, ages, sexual orientation, and those with Disability to apply.* **Posted Date** 03 Dec 2025* **Location** Henderson WA / Australia* **Industry** Engineering* **Job Type** Full Time* **Salary** Not provided
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Intel is seeking a highly skilled individual to design the next generation of microprocessors in Hillsboro, Oregon. This involves hands-on RTL implementation and providing technical leadership in CPU microarchitecture.

The ideal candidate will have extensive experience in silicon development and technical leadership in IP projects. The role demands collaboration with teams and a commitment to innovation in technology.

Generous benefits are offered, alongside a competitive salary in a fast-paced environment.

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ATOMS Careers page seeks a skilled machine learning engineer to leverage advanced methodologies to solve complex challenges in Mountain View, California. You will develop and deploy robust machine learning solutions as part of a collaborative team committed to innovation.

The ideal candidate has a PhD or Master's in a relevant field, deep knowledge in machine learning models, and proficiency in Python. Benefits include competitive salary, insurance plans, and 401(k) options.

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What's the role?

The ZEISS Head of Applications is a senior leadership role responsible for leading the U.S. applications organization and driving a world‑class customer experience across strategic semiconductor accounts. This individual will partner closely with global stakeholders in Germany to translate customer and market insights into business priorities, customer‑focused solutions, and measurable outcomes that strengthen ZEISS’ market position.

The role is highly focused on building and leading a high‑performing applications team, fostering a culture of proactive customer support, operational excellence, and technical expertise. Acting as the voice of the customer and the U.S. business within the global leadership organization, the Head of Applications will influence go‑to‑market strategy, investment priorities, and long‑term business growth while ensuring customers receive exceptional service and support.

Here's what you'll do:

• Provide strategic and operational leadership for the U.S. Applications organization, ensuring alignment with ZEISS business objectives and customer success goals.
• Lead, mentor, and develop a high-performing applications team by establishing clear service expectations, strengthening organizational capability, and fostering a customer‑centric culture.
• Define priorities, operational rhythms, and performance metrics, incorporating voice‑of‑customer feedback and customer success KPIs to drive continuous improvement.
• Collaborate cross‑functionally with Sales, Product Management, and Operations teams to improve customer adoption, retention, satisfaction, and revenue growth.
• Drive strategic initiatives and cross‑functional programs from concept through execution, including business case development, stakeholder alignment, and customer‑focused process improvements.
• Serve as the voice of the U.S. customer and business within the global leadership team, influencing strategy, investment decisions, and execution priorities through data‑driven insights and market feedback.
• Translate customer requirements, industry trends, and market opportunities into actionable recommendations for headquarters and global teams to support innovation, roadmap planning, and long‑term business growth.

Do you qualify?

• Bachelor’s degree required; advanced degree preferred.
• Background in Engineering, Science, or equivalent industry experience strongly preferred.
• Strong understanding of the semiconductor market and customer environment, with the ability to connect technical concepts to business value and deliver an exceptional customer experience.
• Demonstrated success leading teams and complex, cross‑functional initiatives from strategy through execution, with a strong customer‑first mindset.
• Proven business ownership experience, including KPI definition, performance management, and executive‑level reporting, as well as improving customer service metrics.
• Excellent executive communication and stakeholder management skills, with the ability to influence across functions, regions, and organizational levels while driving strong customer outcomes.
• Ability to simplify complex technical and business topics into clear decisions, tradeoffs, and customer impact for both technical and non‑technical audiences; skilled in de‑escalation and issue resolution with customers and internal stakeholders.
• Minimum 5+ years of experience leading teams and/or business‑critical programs with measurable outcomes, including demonstrated customer advocacy and service excellence.

Compensation

• California $173,000 - $216,000
• Pacific/Northwest $167,000 - $209,000
• Mountain States $150,000 - $187,000

Benefits

• Medical
• Vision
• Dental
• 401k Matching
• Employee Assistance Programs
• Vacation and sick pay
• The list goes on!

Zeiss provides Equal Employment Opportunity without unlawful regard to an applicant’s race, color, religion, creed, sex, gender, marital status, age, national origin or ancestry, physical or mental disability, medical condition, military or veteran status, citizen status, sexual orientation, pregnancy (includes childbirth, breastfeeding or related medical condition), genetic predisposition, carrier status, gender expression or identity, including transgender identity, or any other class or characteristic protected by federal, state, or local law of the employee (or the people with whom the employee associates, including relatives and friends).

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Indeed is seeking a Machine Learning Engineering Manager in Charleston, SC, to oversee junior scientists and drive innovative machine learning ecosystems. You will collaborate with Product, Software Engineering, and UX teams to enhance the job seeker experience.

The ideal candidate has extensive experience in machine learning management and is skilled in coaching and project direction. A strong technical background in programming languages and data processing is essential, aligning with Indeed's mission to connect job seekers with opportunities.

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Snap Inc ( is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat ( , a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio ( , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles ( .

Snap Engineering ( teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values ( are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.

We’re looking for a Staff Machine Learning Engineer to join Snap Inc! We are looking for a Staff Machine Learning Engineer to lead the development of next-generation Search ranking systems. In this role, you will design, build, and improve machine learning models that determine the relevance, quality, personalization, and utility of search results at scale.

What You’ll Do

• Lead the design and development of machine learning models for Search ranking, including relevance ranking, personalization, result quality, intent understanding, and engagement optimization

• Own major ranking initiatives from problem definition through experimentation, launch, and iteration

• Develop and improve ranking models using techniques such as learning-to-rank, deep retrieval, neural ranking, sequence models, embeddings, multi-task learning, calibrated prediction, and large-scale feature engineering

• Build ranking systems that balance multiple objectives, such as relevance, user satisfaction, freshness, diversity, fairness, safety, latency, and business goals

• Partner with product managers, data scientists, and engineers to define success metrics, experimentation strategy, and long-term ranking roadmap

• Analyze user behavior, search logs, query-result interactions, and model performance to identify opportunities for improvement

• Design robust offline evaluation, online experimentation, and model monitoring frameworks

• Improve feature pipelines, training infrastructure, serving systems, and model iteration velocity

• Provide technical leadership across teams, influence architecture decisions, and mentor engineers working on ML ranking systems

• Stay current with advances in search, recommendation systems, ads ranking, generative AI, LLM-based ranking, and retrieval-augmented systems

Knowledge, Skills, & Abilities

• Strong machine learning fundamentals, including supervised learning, ranking models, embeddings, deep learning, optimization, evaluation, and experimentation

• Strong programming skills in Python, C++, Java, Scala, or similar languages

• Experience with large-scale data processing and ML infrastructure, such as Spark, Flink, Beam, TensorFlow, PyTorch, JAX, or similar tools

• Ability to take ML models from research or prototyping into large-scale production systems

• Strong understanding of online experimentation, A/B testing, metric design, model debugging, and tradeoff analysis

• Proven ability to lead complex technical projects across multiple teams

• Excellent communication skills and ability to explain complex ML concepts to technical and non-technical stakeholders

Minimum Qualifications

• Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience

• 8+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 7+ year of post-grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience

• Experience developing machine learning models for relevance ranking, personalization, intent understanding, and/or engagement optimization

• Experience with large-scale data processing and ML infrastructure, such as Spark, Flink, Beam, TensorFlow, PyTorch, JAX, or similar tools

Preferred Qualifications

• Advanced degree in Computer Science, Machine Learning, Statistics, Mathematics, Information Retrieval, or a related field

• Direct experience building Search ranking systems, including query understanding, retrieval, ranking, re-ranking, relevance modeling, or result blending

• Experience with ads ranking, recommendation ranking, feed ranking, marketplace ranking, or content discovery systems

• Experience with learning-to-rank methods such as LambdaMART, pairwise/listwise ranking losses, neural ranking models, or transformer-based rankers

• Experience with candidate generation, retrieval models, ANN search, embeddings, vector search, or two-stage ranking architectures

• Experience optimizing ranking systems for multiple objectives, including relevance, engagement, quality, diversity, freshness, long-term user value, and monetization

• Experience with LLMs, foundation models, semantic search, natural language understanding, or retrieval-augmented generation

• Experience building low-latency ML serving systems and improving production model reliability

• Track record of publishing, patenting, or otherwise advancing the state of the art in search, ranking, recommendations, ads, or applied ML

If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information ( .

"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).

Our Benefits ( : Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!

Compensation

In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.

Zone A (CA, WA, NYC) ( :

The base salary range for this position is $229,000-$343,000 annually.

Zone B ( :

The base salary range for this position is $218,000-$326,000 annually.

Zone C ( :

The base salary range for this position is $195,000-$292,000 annually.

This position is eligible for equity in the form of RSUs.

A Decade of Snap ( : Learn about our origin story, values, mission, culture of innovation, and more.

CitizenSnap ( : In our third annual CitizenSnap Report, we demonstrate progress towards our environmental, social, and governance (ESG) goals, and we lay out our plans looking forward.

The DEI Innovation Summit ( : Watch highlights from the 2nd annual DEI Innovation Summit, which brings together thought leaders and DEI experts for a day of courageous conversations to enable bold action.

Snap News ( : Stay up to date on the latest and greatest product and innovation news at Snap

Applicant and Candidate Privacy Policy (

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Locations: New York, Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, Hoboken, Philadelphia, San Francisco, Seattle

The Opportunity

EY-Parthenon’s unique combination of transformative strategy, transactions and corporate finance delivers real‑world value – solutions that work in practice, not just on paper. Benefiting from EY’s full spectrum of services, we’ve reimagined strategic consulting to work in a world of increasing complexity.

With deep functional and sector expertise, paired with innovative AI‑powered technology and an investor mindset, we partner with CEOs, Boards, Private Equity and Governments every step of the way – enabling you to shape your future with confidence.

Within EY-Parthenon, the Growth Platforms team focuses on building durable technology and AI capabilities that power long‑term enterprise growth. The Software Engineering Director for AI Tooling plays a pivotal role in translating strategy into execution—designing and scaling modern software platforms, AI‑enabled tools, and internal products that create measurable value for Fortune 500 and growth‑stage clients alike.

This role sits at the intersection of engineering excellence, applied AI, and business impact—partnering closely with executives, product leaders, and multidisciplinary teams to deliver systems that can be adopted, trusted, and scaled.

Your Key Responsibilities

As a Software Engineering Director, you will lead the design and delivery of production‑grade software systems and AI‑enabled tooling that underpin high‑visibility client engagements and internal platforms. You will own architectural decisions, development standards, and technical direction across multiple workstreams.

• Architect, build, and scale core software platforms that integrate data, AI services, and user‑facing applications.
• Lead the development of AI‑powered tools, including decision support systems, copilots, internal developer tools, and domain‑specific agents.
• Design and maintain robust service architectures (APIs, event‑driven systems, batch and real‑time pipelines) optimized for reliability, security, and extensibility.
• Establish engineering best practices across code quality, testing, CI/CD, observability, and performance.
• Collaborate with AI/ML engineers to productionize models and agents, ensuring seamless integration into real‑world workflows.
• Partner directly with business leaders and C‑suite executives to translate strategic objectives into scalable technical solutions.
• Mentor senior engineers and technical leads, fostering a culture of ownership, craftsmanship, and continuous improvement.

Skills And Attributes For Success

Successful candidates will bring strong engineering judgment, fluency in modern AI tooling, and the ability to operate comfortably across strategy and execution.

You will be expected to:

• Lead development of backend and full‑stack systems using modern languages and frameworks (e.g., Python, Java, Scala, TypeScript).
• Design and manage cloud‑native architectures on platforms such as AWS or GCP, using containerization and infrastructure‑as‑code.
• Build AI‑ready application layers that integrate LLMs, retrieval systems, vector databases, and model orchestration frameworks.
• Develop internal tooling and developer platforms that improve velocity, reliability, and reuse across teams.
• Define and enforce standards for security, privacy, reliability, and compliance (e.g., SOC‑2, HIPAA, enterprise governance).
• Translate ambiguous business problems into concrete system designs and incremental delivery plans.
• Communicate complex technical concepts clearly to non‑technical stakeholders.

To qualify for the role

• A bachelor’s degree in Computer Science, Engineering, or a related technical field and 5+ years of professional engineering experience; or a graduate degree and approximately 3+ years of relevant experience.
• Demonstrated experience in senior software engineering, platform engineering, or technical leadership roles.
• Strong proficiency in modern software development practices, including APIs, distributed systems, and cloud services.
• Hands‑on experience deploying AI‑enabled applications or tooling into production environments.
• Comfort operating in fast‑paced, client‑facing environments with evolving requirements.
• You must either reside in or be in a commutable distance to your office location for this position.
• The ability and willingness to travel and work in excess of standard hours when necessary. In certain circumstances, travel may be required beyond your work location based on client and project needs.

Ideally, you will have

• Experience working in management consulting, product‑led organizations, or high‑growth startups.
• Familiarity with modern AI ecosystems, including LLM frameworks, agent architectures, and prompt/tool orchestration.
• A strong product mindset—understanding not just how to build systems, but how they will be adopted and sustained.
• Knowledge of how to leverage firm‑approved AI tools in a business setting, including Microsoft Copilot.

What We Offer You

We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this role in all geographic locations in the US is $205,000 to $235,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography.

• Medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
• Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client‑serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year.
• Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.

EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

Equal Employment Opportunity Statement

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1‑800‑EY‑HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at

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Micron Technology, Inc. is seeking a Memory Design Engineer in Boise, Idaho, tasked with developing next-generation memory technologies. This role demands significant expertise in mixed-signal circuit design and collaboration with physical design teams to ensure high-performance functionalities.

Applicants should hold a relevant degree and have over 8 years of experience in the field, specifically in the development and analysis of high-speed data-path designs. Micron also offers competitive benefits, which include medical, dental, and paid time off.

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About Us

CYVL is a Physical AI company on a mission to bring Infrastructure Intelligence to every city, town, and community on the planet. We help governments plan, build, and maintain the physical infrastructure that people depend on every day, roads, sidewalks, bridges, utilities, and more, better than ever before.

We pioneered an end-to-end approach that combines purpose-built hardware, computer vision, cloud data pipelines, and AI to transform raw LiDAR and imagery into a living, structured understanding of the built world. Our platform turns what used to take months of manual inspection into actionable intelligence that\'s easy for any agency to use, saving cities time, money, and resources across hundreds of communities nationwide. At CYVL, we\'re building toward a future where every piece of public infrastructure on Earth is captured, understood, and continuously monitored, so the agencies responsible for it and the residents who rely on it can make better decisions, faster. That\'s the power of Physical AI applied to the real world. We\'re a fast-moving, high-growth team based in Boston, MA that believes in solving real-world problems with authenticity, simplicity, and boldness. Every member of our team is empowered to take ownership, deliver results, and leave a lasting impact on the communities we serve.

About You

Cyvl is scaling its capture hardware from a hand-built sensor to a contract-manufactured platform, and the Head of Hardware owns that transition end to end. You will define and drive the hardware strategy for V5 and the generations that follow, take our next-generation sensor from prototype through its first contract-manufactured production run, and build the lean team that delivers it. You will own vendor selection, the bill of materials, supply chain, and the contract manufacturing relationship, while holding the line on cost, quality, security, and reliability for national deployment across government fleets. This is the role that turns Cyvl\'s hardware bet into the durable foundation for our national infrastructure data layer.

Key Responsibilities

• Own Cyvl\'s hardware strategy and roadmap: platform architecture, sensor integration, modular design, the build-vs-buy posture, and the generational roadmap beyond V5.
• Lead vendor selection and BOM component procurement, and own all vendor relationships and supply chain timelines through to production.
• Stand up and manage the contract manufacturing relationship, engaging the CM partner early and locking the first production run.
• Build and lead a best-in-class lean hardware team, delivering rock-solid firmware and an unparalleled hardware UX.
• Drive the scaled BOM cost down to at-scale targets while protecting quality, security, and reliability for national government deployment.

Qualifications

Required:

• 10+ years of hardware engineering experience, including time leading hardware teams or programs.
• Has personally shipped at least one hardware product at scale, from design through high-volume production and into the field.
• Proven track record taking hardware or sensor products from prototype to scaled, contract-manufactured production.
• Deep experience owning vendor selection, BOM management, supply chain, and contract manufacturing relationships.
• Experience leading and growing cross-functional hardware teams across embedded, firmware, electrical, and mechanical disciplines.
• Strong systems judgment on build-vs-buy and COTS strategy, with a bias toward riding the cost curve rather than moving to custom builds before volume justifies it.
• Hands-on familiarity with sensor stacks (LiDAR, cameras, GNSS/IMU) and edge compute platforms such as NVIDIA Jetson/Orin.
• Bachelor\'s or higher in electrical, mechanical, computer, or systems engineering, or equivalent hands-on experience.

Nice to Have

• Experience deploying hardware into government, defense-adjacent, or otherwise regulated and security-sensitive environments.
• Background in physical AI, robotics, autonomous vehicles, or mobile mapping.
• Familiarity with edge anonymization, data pipelines, and how capture hardware feeds a downstream data platform.

What we offer

• Comprehensive health, dental, and vision coverage
• 401(k) with immediate vesting
• Generous PTO, paid parental leave, and flexible work options
• Annual professional development stipend
• Team events, referral bonuses, and a collaborative, growth-focused culture

Our Values

At CYVL, the technology we build directly impacts the roads people drive on, the sidewalks their kids walk to school on, and the infrastructure that keeps communities running. We move fast, we care deeply, about the work, about our customers, and about each other. This is a team where trust isn\'t a talking point, it\'s how we operate.

Our values guide how we operate and shape a team that is genuinely RAARE:

Real - authentic, transparent, focused on solving real problems with simple, effective solutions.

All Out - bold, driven, and committed to delivering results that matter.

Accelerating - always learning, growing, and moving with intention.

Reliable - we follow through and deliver at a consistently high bar.

Empowering - we lift each other up and help governments build infrastructure they can be proud of.

Read More About Us

Learn about our startup journey

Learn what we are doing

Learn about our customers

Together, we stay curious, learn quickly, and keep raising the bar. If you want to grow, make an impact that truly matters, and be part of a team that\'s shaping the future of public infrastructure, you\'ll feel right at home at Cyvl.

Compensation Range: $185K - $250K

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We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands‑on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always‑on, high‑tech, and hyper‑connected world.

Role Overview

As our Staff Machine Learning Engineer for Coupang Media Group, Ads Quality, you will be responsible for developing, designing machine learning models, optimization algorithms and new product features for our advertising platform.

The Coupang Media Group (CMG) is responsible for providing vendors that sell their products on Coupang a host of marketing products and services. We launched Product Ads performance advertising marketplace late in 2018. We have grown rapidly to over 10,000 active advertisers and 150M daily ad impressions in only 5 months’ time. Our group is responsible for advertising brands and products inside our e‑commerce website. To get an idea of how valuable that is, both Alibaba and Amazon make more money on advertising than on selling products.

This is an opportunity to be part of building up a new development organization with strong revenue potential inside a successful company. We’re building full‑stack engineering teams to handle large scale advertising problems, including real‑time behavioral targeting, auctioning and bidding systems and search based advertising.

We are in the growth phase of the organization, so you’ll be a part of managing the transition from growth phase to enterprise processes.

In this role you will be responsible for innovating and building our new ad quality stack for our ads platform and eventually extend it into a full ad exchange, DSP, and SSP. We currently handle about 1bn impressions per day from internal traffic alone.

What You Will do

• Design features and build large‑scale machine learning models and systems to improve ad targeting, relevance, ranking, and engagement
• Design and implement large‑scale ML systems for search ranking, semantic retrieval, query understanding, and personalized product discovery using state‑of‑the‑art techniques such as transformer‑based models, contrastive learning, and vector search
• Drive innovation in search relevance and user intent modeling using large language models (LLMs), embedding‑based retrieval, and multi‑modal learning
• Build and optimize ML pipelines using tools such as Apache Spark, Airflow, Kubeflow, and MLflow, ensuring reproducibility, scalability, and operational excellence
• Define and track key performance metrics to evaluate model impact and identify high(1)leverage opportunities for improvement
• Collaborate cross‑functionally with product, engineering, and data science teams to align technical solutions with business goals and customer experience
• Mentor and grow engineering talent, fostering a culture of technical excellence, experimentation and continuous learning

Basic Qualifications

• Bachelor's degree in computer science, electrical engineering, mathematics or statistics or closely related fields
• 4 years of professional experience in applied machine learning
• Experience in machine learning, deep learning, and statistical modeling
• Proficiency in Python and/or Java, with experience in building production grade ML systems

Preferred Qualifications

• Master’s or PhD in relevant technical fields
• Experience with search systems, information retrieval or recommendation engines
• Experience with LLMs, embeddings, and vector search technologies
• Experience with cloud platforms such as AWS, Google Cloud Platform including services like Vertex AI, BigQuery or SageMaker
• Experience working in startup or high‑growth environments
• Proven ability to lead‑cross‑functional teams and deliver results in a multicultural, global organization
• Hands‑on experience with modern ML frameworks such as TensorFlow, PyTorch, Scikit(1)learn, Keras, XGBoost, LightGMB, and H2o.ai
• Experience with ML lifecycle tools such as MLflow, Kubeflow, Weights & Biases, or Amazon SageMaker
• Excellent communication skills with the ability to explain complex technical concepts to both technical and non‑technical stakeholders
• Demonstrated ability to work independently and manage ambiguity in fast‑paced environments

Pay & Benefits

Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation.

The base pay for Staff position ranges from $152K/year to $261K/year. Pay is based on several factors including market location and may vary depending on job‑related knowledge, skills, and experience.

General Description of All Benefits

• Annual bonus is 0-20% of the base salary
• Medical/Dental/Vision/Life, AD&D insurance
• Flexible Spending Accounts (FSA) & Health Savings Account (HSA)
• Long‑term/Short‑term Disability
• Employee Assistance Program (EAP) program
• 401K Plan with Company Match
• 18-21 days of the Paid Time Off (PTO) a year based on the tenure
• 12 Public Holidays
• 6 weeks Paid Parental leave
• Pre‑tax commuter benefits
• MTV - (Free) Electric Car Charging Station

General Description of Other Compensation

“Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale.

Recruitment Process and Others

Recruitment Process

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer

• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.

• Interview schedules and the results will be informed to the applicant via the e‑mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.

• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.

• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.

Privacy Notice

Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: If you need assistance and/or a reasonable accommodation in the application of recruiting process due to a disability, please contact us at

Requisition ID: R

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Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia‑Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit Follow Shield AI on LinkedIn, X, Instagram, and YouTube.

We are seeking a Senior Propulsion Design Engineer to support the development and delivery of propulsion hardware for the X-BAT platform, a next‑generation UAV powered by a low‑bypass turbofan engine. This role spans the full lifecycle of propulsion system components – from early layout and design through production release, test support, and flight operations.

You will be a key contributor to turning propulsion architecture into manufacturable, testable, and flight‑ready hardware across the engine, fuel, oil, and bleed air systems. This role is hands‑on, detail‑oriented, and highly cross‑functional – requiring close collaboration with propulsion REs, technicians, machinists, production, controls, airframe, and flight test teams.

What you will do in this role:

• Own the design and release of propulsion hardware supporting the engine, fuel, oil, and bleed air systems.
• Develop and maintain CAD models, drawings, and assemblies using Siemens NX with proper GD&T.
• Translate propulsion architecture and requirements into hardware that is manufacturable, testable, and robust in flight.
• Work directly with the machine shop, production, and technicians to support builds, resolve non‑conformances, and drive iterative improvements.
• Support test campaigns by providing hardware design support, instrumentation accommodation, and rapid iteration based on test findings.
• Apply engineering judgment and analysis (e.g., hand calcs, ANSYS, FEA, GFSSP, REFPROP) to support sizing, load cases, and design validation.
• Support configuration management, BOM control, and change processes using Teamcenter or equivalent PLM.
• Participate in design reviews, interface control efforts, and root cause investigations related to propulsion hardware.

Required qualifications:

• Bachelor’s degree in Aerospace Engineering, Mechanical Engineering, or a related engineering discipline.
• 5+ years of experience in aerospace hardware design, preferably supporting propulsion systems.
• Proficiency in CAD modeling and drawing creation (NX preferred) with sound application of GD&T.
• Experience working directly with production, technicians, and machine shops to resolve real‑world build issues.
• Understanding of design for manufacturing, including machining limitations, tolerance stack‑ups, and assembly workflows.
• Some hands‑on experience developing assembly guidance and supporting hardware builds and test integration.
• U.S. Citizenship or ability to comply with ITAR requirements.

Preferred qualifications:

• Experience with jet propulsion systems on UAVs or tactical aircraft.
• Familiarity with GFSSP, REFPROP, ANSYS, or FEA to support design trade studies and validation.
• Ability to write Python scripts for design automation, analysis, or data processing.
• Experience with interface control, fastener selection for high‑vibration environments, and high‑temperature materials.
• Experience designing hardware in test‑driven development environments with rapid iteration cycles.
• M.S. in Aerospace Engineering or a related discipline.

Full‑time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity

Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part‑time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

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Job Description:

Shield AI is building the world’s best AI pilot to protect service members and civilians with intelligent systems. As we scale both our proven VBAT platform and develop next‑generation systems like XBAT, we are investing in how we build—not just what we build.

We are seeking a senior technical leader to define and operationalize engineering design standards across the company. This position is focused on establishing engineering excellence—driving consistency, rigor, and scalability across design, analysis, certification, CAD, documentation, and configuration management.

This is a high‑impact individual contributor role with broad scope across multiple engineering disciplines, responsible for raising the bar on engineering quality without slowing down execution.

What you'll do:

• Establish and own engineering design standards across programs, including XBAT and VBAT
• Define and standardize best practices for aerospace design, analysis workflows, and system‑level engineering rigor
• Develop standards for CAD usage, drawing quality, standard notes, release processes, and engineering documentation
• Manufacturing & supply chain handoff including EBOM and MBOM creation along with driving part demand
• Build and mature an engineering excellence framework that scales with the company
• Partner with engineering leadership to align teams on consistent ways of working
• Ensure standards are practical, accessible, and consistently applied across teams
• Influence design decisions and engineering processes across disciplines without becoming a bottleneck
• Support both near‑term program execution and long‑term scalability of engineering processes
• Drive improvements in configuration management, documentation quality, and design consistency

Required qualifications:

• 10+ years of experience in aerospace or high‑performance hardware design environments
• Deep experience working within organizations that maintain strong engineering standards and design rigor
• Broad technical background across multiple engineering domains (mechanical, aerospace, systems, etc.)
• Experience defining or applying design standards, documentation practices, and configuration management systems
• Familiarity with industry standards such as MIL-STD-810, DO-160, and ASME Y14.5 (GD&T)
• Demonstrated ability to influence senior engineers and drive alignment across teams
• Strong track record of improving engineering quality, consistency, and scalability
• Excellent communication skills with the ability to clearly articulate standards and expectations across technical audiences

Full‑time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity.

Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment).

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part‑time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

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Unity Technologies in Bellevue, Washington seeks a PhD graduate for their Vector AI team to design next-generation machine learning systems for ad relevance. Responsibilities include building and evaluating ranking models and user understanding systems, working with ML frameworks such as PyTorch and TensorFlow.

Ideal candidates will have strong research in recommendation systems and reinforcement learning. The role offers a competitive salary between $127,400.00 and $191,200.00, along with comprehensive benefits including health insurance and employee stock ownership.

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About Us

At MAI (pronounced “my”), we are on a mission to democratize advanced advertising technology. We believe that cutting‑edge marketing tools should be accessible to everyone, not just large enterprises with massive budgets. Our platform uses AI agents to automate and optimize performance marketing, empowering small and mid‑sized businesses to scale their ad spend profitably without the need for an agency or endless hours of manual campaign management.

Founded by ad platform veterans from Google and Instacart, we have raised a $25 million Seed funding round led by Kleiner Perkins to accelerate growth. This capital will be used to expand our product and engineering teams, bringing our vision of intelligent, autonomous marketing to life. Our AI agents have already proven their value, helping clients drive 40% more sales and managing millions in monthly Google Ads spend. Our client waitlist is growing by the day.

Why Join Now

While traditional software has a clear playbook, building the infrastructure for autonomous, intelligent agents is a new frontier — and we’re writing the manual. As an early Machine Learning Engineer at MAI, you will be the architect of the ecosystem where our AI agents live, learn, and operate. You will have a profound impact across our entire stack, from foundational data platforms to core agentic frameworks and scalable serving systems.

You will work on a small, focused team of fewer than ten engineers, with immense impact and the ability to shape the future of our company. We are forming three core teams:

• Product Engineering & Infrastructure
• AI Platform & Foundation
• Agent Application & Quality

What You’ll Do

• Build the Agent’s Operating System: design and build our core agentic platform that orchestrates complex workflows, enables long‑term memory, and integrates human feedback loops.
• Engineer the Data Engine: architect our foundational data and signal platform using a modern lake‑house architecture, building robust pipelines and ML serving systems.
• Create World‑Class Tools for AI: build a suite of secure “tool machines” that allow agents to execute code, manipulate data, and call third‑party APIs.
• Ship an Exceptional Product Experience: develop customer‑facing applications, including a seamless chat UI, and own the scalable serving infrastructure needed for a 24/7 experience.
• Bring Models to Life: collaborate closely with data scientists to build the MLOps infrastructure for training, fine‑tuning, and deploying state‑of‑the‑art reasoning models that define our agents’ intelligence.

What You’ll Bring

• A Master’s or PhD in Computer Science or a related quantitative field, OR a Bachelor’s degree with 2+ years of professional software engineering experience.
• Strong proficiency in Python and a passion for writing clean, scalable, maintainable code.
• A product‑minded mindset that bridges backend systems and delightful user experience.
• A systems‑level thinker capable of navigating ambiguity and designing for scalability, reliability, and extensibility.
• Experience with ML frameworks (e.g., PyTorch, TensorFlow) or MLOps infrastructure (e.g., MLflow, Kubernetes, serving systems).
• Hands‑on experience developing with Large Language Models, agentic frameworks (such as LangGraph), or building RAG systems.

Bonus Points

• Data Engineering: building ETL/streaming pipelines, working with Spark, Airflow, dbt, or lakehouse architectures.

Why You’ll Love Working at MAI

• Unparalleled Learning: solve novel challenges in building scalable, reliable systems for autonomous agents and LLMs.
• High Impact: your work will directly shape our core platform, culture, and customer success.
• A Culture of Curiosity: work with a tight‑knit team that values transparency, first‑principles thinking, and a relentless drive to solve hard problems together.
• True Ownership: significant autonomy over your work and a clear path for growth as the company scales.

Compensation and Benefits

• Salary: $160,000–$225,000, commensurate with experience.
• Equity: meaningful equity to feel invested in our mission.
• Health and Wellness: medical, dental, and vision coverage for you and your family.
• 401(k): competitive program to help you build for the future.

We believe in a holistic approach to hiring. If you’re passionate about our mission and eager to learn and grow, we encourage you to apply even if you don’t meet every requirement. We value potential, curiosity, and hunger. We look forward to hearing from you.

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Lightmatter in Mountain View is seeking a Photonics PDK Design Automation Engineer to develop our internal Process Design Kit (PDK). This role involves creating a library of pcells using Python and collaborating with various engineering teams to ensure successful project outcomes.

Ideal candidates should have a Masters or PhD, 3+ years of experience in LVS deck development, and strong problem-solving skills. Benefits include comprehensive health care, retirement savings matching, and a flexible, hybrid workplace model.

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NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self‑driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Are you looking for a Mask layout Design Engineer role? We are seeking a hands‑on Senior SRAM Layout Engineer to lead the physical layout creation for SRAM and memory IP in advanced CMOS nodes. In this role, you will build custom memory layouts from initial floorplanning through DRC/LVS‑clean tape‑out, working closely with circuit design, physical design, integration, CAD, and foundry teams. This is a senior individual‑contributor role for someone who can produce complex layouts, make informed advanced‑node trade‑offs, improve layout methodology, and guide junior engineers.

What You Will Be Doing

• Manage the complete custom layout process for SRAM bit‑cell arrays, memory periphery, test structures, and memory macros in advanced CMOS technologies.
• Develop and improve floorplans for SRAM and memory blocks, covering array layout, periphery positioning, power grid design, routing channels, and macro assembly.
• Carry out, debug, and complete DRC, LVS, ERC, antenna, and associated physical verification checks with tools such as Calibre, ICV, or similar workflows.
• Support EM/IR review, power integrity, density/fill, DFM, dummy insertion, layout‑dependent effects, and other requirements for tape‑out.
• Collaborate with circuit designers to convert schematics into layouts, ensuring matching, symmetry, shielding, parasitic targets, and reliability constraints are maintained.
• Collaborate with PnR and integration teams to resolve top‑level DRC/LVS, pin access, boundary, routing, power‑grid, and macro‑integration issues.
• Implement and advance layout methodology, checklists, reusable practices, and quality standards for consistent memory IP delivery.
• Collaborate with foundry, CAD, and methodology teams on rule interpretation, deck behavior, waivers, and advanced‑node process constraints.
• Review layouts, mentor junior engineers, and help raise layout quality and execution rigor across the team.

What We Need To See

• Have a BSEE or equivalent experience.
• 10+ years of custom IC layout experience, including 5+ years in SRAM, memory compiler, or full‑custom memory IP layout.
• Hands‑on participation in advanced CMOS technology initiatives, preferably concentrating on FinFET or GAA nodes at 5 nm, 3 nm, or smaller dimensions.
• Solid grasp of SRAM and memory layout principles.
• Extensive experience in Cadence Virtuoso applied to custom layout creation and assessment.
• Extensive experience in DRC/LVS debugging using Calibre, ICV, or similar physical verification tools.
• Experience with floorplanning, block‑level routing, macro assembly, pin planning, boundary/interface management, and top‑level physical verification.
• Direct familiarity with advanced‑node layout limitations and layout‑dependent phenomena, including LOD, density/fill, matching, symmetry, shielding, electromigration, IR drop, and DFM or similar expertise.
• Ability to work effectively with circuit build, physical build, integration, CAD, and foundry teams.
• Clear communication, strong ownership, good judgment, and the ability to mentor other engineers.

Ways To Stand Out From The Crowd

• Experience in scripting using Cadence SKILL, Python, or comparable languages for layout automation, checks, reporting, or improving workflows.
• Strong familiarity with EM/IR, reliability, density, fill, DFM, and post‑processing closure at both IP and top level.

Salary range: $132,000 – $207,000 for Level 4. $148,000 – $235,750 for Level 5. You will also be eligible for equity and benefits. NVIDIA offers a comprehensive benefits package.

NVIDIA is committed to fostering an inclusive work environment and is proud to be an equal‑opportunity employer. NVIDIA does not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

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What you will do:

Team Leadership:

• Recruit, hire, and mentor a high-performing team of machine learning engineers and data scientists.
• Foster a collaborative and inclusive team culture, promoting knowledge sharing and continuous learning.
• Set clear goals, provide regular feedback, and promote professional growth and development of team members.

Project Management:

• Develop and manage project plans, timelines, and budgets for machine learning initiatives.
• Ensure the successful execution of projects, from ideation and prototyping to production deployment.
• Collaborate with cross-functional teams to define project requirements and priorities.

Technical Leadership:

• Drive the technical vision and strategy for the Machine Learning Team.
• Oversee the research, development, and deployment of machine learning models and algorithms.
• Stay current with the latest advancements in the field and ensure that our projects leverage cutting‑edge technologies.

Quality and Performance:

• Implement best practices for model development, data pipelines, and model evaluation.
• Monitor and optimize the performance, scalability, and reliability of machine learning systems.
• Ensure that our AI solutions meet high standards of accuracy and efficiency.

Stakeholder Communication:

• Collaborate with leadership, product managers, customer success staff, and other teams to align machine learning initiatives with business goals.
• Provide regular updates and reports on project status, challenges, and successes to stakeholders.

What you bring to the table:

• Master's degree in Computer Science, Machine Learning or a related field. A Ph.D. is a plus.
• 5+ years industry experience
• Proven experience in leading or managing machine learning/AI teams, with a track record of successful project delivery.
• Proficiency in programming languages such as Python and experience with relevant libraries (e.g., TensorFlow, PyTorch).
• Excellent problem‑solving and analytical skills.
• Strong communication skills.
• Knowledge of software engineering best practices and experience with deploying machine learning models in production environments.

Base Compensation Range: $187,000- $299,000

Our total compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions or bonus plans.

Ultimately, in determining pay, final offers may vary from the amount listed based on geography, the role’s scope and complexity, the candidate’s experience and expertise, and other factors.

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ServiceNow seeks a Conversation Product Engineer to innovate using cutting-edge Machine Learning for business automation. You will apply generative AI technologies in diverse enterprise use cases, collaborating with cross-functional experts.

Ideal candidates bring over 7 years of scalable system development experience, strong product sense, and excellent communication skills. Join us in transforming how teams work and enhance their productivity across the enterprise.

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Company Overview

At Motorola Solutions, we believe that everything starts with our people. We're a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that's critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.

Department Overview

The Supply Chain & Procurement Transformation department is a specialized team focused on fundamentally improving and modernizing an organization's supply chain and procurement functions. This isn't just about incremental improvements; it's about driving significant, strategic change to create a more efficient, resilient, and value-driven supply chain.

Job Description

North America Test Engineering Manager to lead a team of Test Engineers, overseeing the strategy, development, and execution of product testing to ensure quality. This role involves managing staff, including hiring, training, and performance evaluation. It also includes collaborating with other departments to define testing strategies, create test plans, and manage the overall strategy, development, and execution of product testing to ensure the highest quality standards.

The Manager will collaborate extensively with cross-functional departments such as R&D, product management, and manufacturing to define robust testing strategies, create detailed test plans, and efficiently manage resources, ensuring projects are completed on-time and within budget. A key aspect of the role involves the management of test environments and tools, alongside a continuous drive to improve test processes and methodologies. The Manager will also provide strong technical leadership and mentorship to the team, guiding them in best practices and problem-solving.

Key Responsibilities

• Strategic Planning: Develop and implement a comprehensive test engineering strategy aligned with overall business objectives and product roadmaps.
• Team Leadership & Development: Lead, mentor, and manage a team of Test Engineers, fostering professional growth and ensuring high productivity. This includes hiring, training, performance reviews, and career pathing.
• Test Process Management: Oversee the entire product testing lifecycle, from requirements analysis and test plan creation to execution, defect tracking, and reporting.
• Collaboration: Work closely with R&D, design, and manufacturing teams to integrate testing activities seamlessly into the product development process.
• Resource Management: Allocate and manage testing resources, including personnel, equipment, and budget, to optimize project timelines and costs.
• Quality Assurance: Establish and maintain high standards for product quality and reliability through effective testing methodologies.
• Risk Management: Identify and mitigate potential testing risks and challenges.
• Reporting: Provide regular updates and reports on testing progress, issues, and overall product quality to senior management.

Innovation

• Continuously find methods to improve efficiency metrics for the team (on-time delivery, cost, quality).
• Research and implement new testing technologies, tools, and methodologies to enhance test coverage and effectiveness.
• Drive continuous improvement initiatives within the test engineering function.

Organization / Project Management

• Coordinate resources and tasks to meet overall group objectives and priorities.
• Monitor achievements and costs, and remove barriers to group’s success.
• Manage multiple projects simultaneously, ensuring clear communication and timely completion.
• Develop and maintain detailed project schedules and milestones.

Skills

• Strong background in LabView Development.
• In-depth knowledge in Hardware and RF testing principles and applications.
• Extensive programming experience in C, C#, and C++.
• Proven experience in managing and leading technical teams.
• Excellent problem‑solving and analytical abilities.
• Strong communication and interpersonal skills.
• Familiarity with various testing methodologies (e.g., Agile, Waterfall) and test automation frameworks.
• Ability to troubleshoot complex technical issues.

Qualifications

• Demonstrated experience with product development life cycles and quality assurance processes to ensure on-time and within-budget project completion, with responsibilities including managing test environments and tools, improving test processes, and providing technical leadership and mentorship.

Basic Requirements

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related technical field.
• 8+ years of experience in Test Engineering.

Travel Requirements

10-25%

Relocation Provided

None

Position Type

Experienced

Referral Payment Plan

Yes

Target Base Salary Range

$120,300 – $186,300

Benefits

• Incentive Bonus Plans
• Medical, Dental, Vision benefits
• 401K with Company Match
• 10 Paid Holidays
• Generous Paid Time Off Packages
• Employee Stock Purchase Plan
• Paid Parental & Family Leave
• and more!

EEO Statement

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.

Additional Information

We are proud of our people‑first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you'd like to join our team but feel that you don't quite meet all of the preferred skills, we'd still love to hear why you think you'd be a great addition to our team.

We're committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.

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InRhythm is a leading modern product consultancy and digital innovation firm with a mission to make a dent in the digital economy. Founded in 2002, InRhythm is currently engaged by Fortune 50 enterprises to bring their next generation of AI-powered digital products and platforms to market. InRhythm has helped hundreds of teams launch mission-critical products that have created a positive impact worth billions of dollars.

InRhythm’s unique capabilities of AI Innovation and Intelligent Platform Modernization services are the most sought-after. The InRhythm team of A+ thought leaders don’t just “get an assignment” they join the company to do what they love. It’s that passion that has helped us grow rapidly and consistently deliver on our commitment to helping clients develop better, faster, and in rhythm.

What We Do At InRhythm:

We bring enterprises' most urgent, important products to market with high-velocity, high-quality, and 10x impact through Artificial Intelligence. We enable innovative cultures by coaching teams with the right mix and maturity of modern LLM frameworks, agentic workflows, and AI thought leadership.

This is a unique opportunity to get in on the ground floor of an evolving team. InRhythm clients include a broad range of highly visible and recognizable customers, including, but not limited to:

• Fidelity
• American Express

From generative AI prototypes to tier-one enterprise AI builds, our clients look to us to deliver their mission-critical projects related to AI strategy, data engineering, and LLM orchestration. The projects we work on literally change the world. They change the way we live, work, and think in a positive way.

Our Team is looking for someone who has a passion for architecting intelligent, agent-driven applications and scalable AI infrastructure. As an AI Practice Director, you will be the technical face of InRhythm's Claude AI practice; on stage at Anthropic events, in the room with CIOs, and on the ground building the delivery methodology that powers our Foundry service offering. You will lead and inspire all stakeholders, including executives, decision-makers, and consultants alike. You will work shoulder-to-shoulder with our Chief Architect and Head of Delivery to codify how InRhythm delivers AI at scale through the AI DLC (AI-Driven Lifecycle) methodology. You are the person we trust to walk into a client engagement without us, and win.

We work with cutting-edge technology, including Generative AI, RAG architectures, and Neural Networks, to develop vibrant solutions from the ground up. Together, we create applications and platforms that challenge the status quo through high-velocity AI engineering, helping our clients execute their modern digital roadmaps.

At InRhythm, you will:

• Serve as InRhythm's Field CTO, the senior technical voice in client conversations, executive workshops, and AI readiness assessments
• Champion and expand the Claude AI practice, including our Anthropic partnership, go-to-market motion, and pathway to becoming Anthropic's #1 enterprise partner
• Co‑own and evolve the AI DLC delivery methodology alongside Wayne, codifying how agentic AI workflows, LLM orchestration, and RAG architectures are delivered at scale
• Architect LLM‑integrated cloud applications on AWS Bedrock and Azure OpenAI, working with ML Engineers and Product Managers to navigate AI‑native platform strategy
• Lead AI readiness assessments and solution architecture engagements for enterprise clients across financial services, retail, and beyond
• Define and break out AI‑driven features — semantic search, autonomous agents, predictive analytics — into executable delivery plans
• Represent InRhythm at industry conferences and Anthropic events, building the brand as a thought leader in agentic AI and enterprise Claude delivery
• Mentor and grow a community of AI Architects, instilling best practices in Prompt Engineering, Model Evaluation, and MLOps
• Collaborate with senior leadership on long‑term AI organizational strategies, roadmaps, and SOW development for pre‑sales

What you bring to the table:

• 10+ years of technology experience including AI/ML architecture, microservices‑based cloud architecture (AWS Bedrock, Azure OpenAI), and LLM orchestration (LangChain, LlamaIndex)
• Deep expertise in Vector Databases (Pinecone, Weaviate, Milvus), Fine‑tuning, RAG architecture, and API design for AI services
• Fluency with agentic AI patterns, multi‑agent orchestration, and the Claude ecosystem, or ability and drive to become certified within 30 days
• 5+ years in consulting: defining business needs, guiding enterprises through AI transformation, and owning client relationships at the executive level
• Experience leading Discovery exercises and producing detailed AI architecture diagrams for both technical teams and C‑suite stakeholders
• Proven ability to communicate AI ROI, ethics, and risk tradeoffs with confidence to executive audiences
• Background in Data Engineering, Python‑based AI development, and MLOps
• Computer Science or Engineering degree (or equivalent demonstrated depth)
• Meets our 5 Values (GWC).

What makes you stand out from the pack:

• You have driven pre‑sales, SOW development, and delivery as a Subject Matter Expert in Generative AI
• You have spoken at AI conferences and understand how to build a personal and company brand in the AI ecosystem
• You think in primitives and agents; your solutions are model‑agnostic by design, so InRhythm is never locked in
• You have built or led practices; you know how to codify delivery, train others, and scale thought leadership beyond yourself
• You are as comfortable in a client whiteboard session as you are presenting the keynote at an Anthropic summit

Why Work At InRhythm:

We are at an inflection point. InRhythm has chosen to place a concentrated bet on the Claude ecosystem, and we are building the team to back that bet with world‑class delivery. You will have a direct line to the Founder, Chief Architect, and Head of Delivery — and a mandate to shape how the entire company delivers AI.

This is not a role where you manage a backlog. This is a role where you define the future of AI delivery for InRhythm and its clients.

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