Staff AI/ML Fullstack Engineer - AV ML Infra

General Motors

Staff AI/ML Fullstack Engineer - AV ML Infra

Reposted 13 Hours Ago

Sunnyvale CA USA

Hybrid

219K-335K Annually

Senior level

Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing

We make amazing products people love for every journey.

The Role

As a Staff AI/ML Full-Stack Engineer at GM you'll design and develop end-to-end software products own technical projects and mentor junior engineers while focusing on cloud infrastructure and scalable applications.

Summary Generated by Built In

Description
We're General Motors (GM) a company driving the future of mobility with advanced self-driving and electric vehicle technologies.
We're building the world's most innovative autonomous vehicles to safely connect people to the places things and experiences they care about. We believe self-driving vehicles will help save lives reshape cities give back time in transit and restore freedom of movement for many.
GM employees have the opportunity to grow and develop while learning from leaders at the forefront of their fields. With a culture of internal mobility there's an opportunity to thrive in a variety of disciplines. This is a place for dreamers and doers to succeed.
If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving vehicles join us.
About the team:
The AV ML Infra team at GM builds end-to-end ML platforms and developers facing products designed to meet the unique demands of AI and ML innovation supporting a wide range of use cases across teams such as Embodied AI Simulation Data Science and more. We enable scalable and efficient ML experimentation enhance the productivity of ML engineers and drive the adoption of cutting-edge ML techniques.
Our ML infrastructure includes:

AI Validation & Inference: Ensures robust model performance by running large-scale simulation workloads and managing reliable ML inference pipelines.

ML Compute: Streamlines and optimizes large-scale ML training and inference across cloud and on-prem compute resources.

AV Pipelines & Lineage: Automates ML workflows while tracking data and model lineage across diverse infrastructures accelerating engineering velocity and ensuring reproducibility.

Together these tools and systems empower GM to tackle the complexities of autonomous driving technology and expedite our path to commercialization.
Position Overview:
As a Staff AI/ML Full-Stack Engineer you will design and build end-to-end software products owning everything from user-facing interfaces to backend services and cloud infrastructure. You will lead technically complex projects collaborate closely with product managers and platform teams and mentor junior engineers. This is a hands-on individual contributor role with a strong emphasis on technical depth system design and product impact rather than people management.
Note: This role is part of an ML infrastructure engineering team and does not involve applying machine learning models for specific tasks. The focus is on developing infrastructure products that empower GM teams to perform machine learning and data science at scale.
What you'll be doing:

Full-Stack Development : Design implement and maintain user-facing web applications and internal tools used by AV engineering teams. Build scalable backend services and APIs that power frontend experiences. Ensure systems are secure reliable and performant at scale.

Frontend Engineering: Develop modern responsive UIs using frameworks such as React Angular or similar Collaborate with UX and product partners to deliver intuitive workflows and polished user experiences. Translate complex backend concepts into clear usable interfaces.

Design & Implementation: Utilize the latest cloud technologies (GCP/Azure) to design implement and test scalable distributed computing and data processing solutions in the cloud.

Project Ownership: Take ownership of technical projects from inception to completion contribute to the product roadmap and make informed decisions on major technical trade-offs.

Collaboration: Engage effectively in team planning code reviews and design discussions considering the impact of projects across multiple teams while proactively managing conflicts.

Mentorship & Recruitment: Conduct technical interviews with calibrated standards onboard and mentor engineers and interns fostering a culture of growth and knowledge sharing.

What you must have:

5+ years of professional software engineering experience including full-stack development.

Experience building and operating production-grade web applications

3+ years of experience leading and driving large-scale initiatives.

Proficiency in building scalable infrastructure on the cloud using Python C++ Golang or similar languages.

Experience working with relational and NoSQL databases.

Demonstrated ability to develop and maintain systems at scale.

A Bachelor's Master's or Ph.D. in Computer Science Electrical Engineering Mathematics Physics or a related field; or equivalent practical experience.

A passion for autonomous vehicle technology and its transformative potential.

Strong attention to detail and a commitment to accuracy.

A proven track record of efficiently solving complex problems.

A startup mentality with a willingness to embrace uncertainty and wear multiple hats.

Bonus Points:

Experience with Google Cloud Platform Microsoft Azure or Amazon Web Services.

Experience with open-source orchestration platforms such as Kubeflow Flyte Airflow etc.

Experience with Kubernetes.

Understanding of Machine Learning (ML) models/pipelines.

Python/C++/Golang proficiency.

Relevant publications.

Compensation:

The expected base compensation for this role is: $218800- $335300. Actual base compensation within the identified range will vary based on factors relevant to the position.
You also need to include general information about potential commissions if applicable.
Bonus Potential: An incentive pay program offers payouts based on company performance job level and individual performance.

Benefits:

Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical dental vision Health Savings Account Flexible Spending Accounts retirement savings plan sickness and accident benefits life insurance paid vacation & holidays tuition assistance programs employee assistance program GM vehicle discounts and more.

Company Vehicle: Upon successful completion of a motor vehicle report review you will be eligible to participate in a company vehicle evaluation program through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
About GM
Our vision is a world with Zero Crashes Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words our deeds and our culture. Every day we want every employee to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex race color national origin citizenship status religion age disability pregnancy or maternity status sexual orientation gender identity status as a veteran or protected veteran or any other similarly protected status in accordance with federal state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required where applicable to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment email us [email protected] or call us at 1-800-865-7580. In your email please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Skills Required

5+ years of professional software engineering experience
3+ years of experience leading and driving large-scale initiatives
Proficiency in building scalable infrastructure on the cloud using Python C++ Golang or similar languages
Experience working with relational and NoSQL databases
A Bachelor's Master's or Ph.D. in Computer Science Electrical Engineering Mathematics Physics or a related field; or equivalent practical experience
Demonstrated ability to develop and maintain systems at scale
A passion for autonomous vehicle technology and its transformative potential
Strong attention to detail and a commitment to accuracy
A proven track record of efficiently solving complex problems

What the Team is Saying

General Motors Compensation & Benefits Highlights

Healthcare Strength—Health coverage spans multiple plan options with medical behavioral health dental vision prescriptions and wellness resources alongside HSAs/FSAs to manage costs. In select regions ConnectedCare coordinates care to lower premiums and out‑of‑pocket expenses.
Retirement Support—Retirement funding includes a 401(k) with a 4% company contribution plus up to a 6% match with a pension option for eligible employees. This structure emphasizes long‑term financial security for many roles.
Parental & Family Support—Family supports include paid parental leave substantial vacation and holiday time backup childcare and family‑building assistance with a defined lifetime maximum. Mental‑health programs add no‑cost counseling or coaching sessions each year.

Learn more about General Motors's Compensation & Benefits →

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The Company

HQ: Detroit MI

165000 Employees

Year Founded: 1908

What We Do

At General Motors our vision is to create a world with Zero Crashes Zero Emissions and Zero Congestion. We wholeheartedly embrace the responsibility to lead the change that will make our world better safer and more equitable for all. Our industry and company are undergoing a once-in-a-lifetime technological transformation which is reshaping our approach to technology and innovation. We are expanding our horizons through new technology platforms and driving innovations that deliver exceptional value to our customers.

Why Work With Us

At General Motors our purpose is to pioneer the innovations that move and connect people to what matters. We’re driving the world forward together. We’re building vehicle software alongside its hardware hands-free driving that will lead to autonomy and EVs that charge your home for an all-electric future.

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Roles that are categorized as Hybrid mean that the successful candidate is expected to report onsite to the designated facility at least three times per week or other frequency as dictated by the business.

Typical time on-site: 3 days a week