Senior AI​/ML ‑Stack Engineer, Infra & Platforms

Job Description

We’re General Motors (GM), a company driving the future of mobility with advanced self-driving and electric vehicle technologies.

We’rebuilding 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’san opportunity to thrive in a variety of disciplines. This is a place for dreamers anddoersto succeed.

If you are looking to play a part in making a positive impactinthe world by advancing the revolutionary work of self-driving vehicles, join us.

About the team:

The AV ML Infra team at GM buildsend-to-endMLplatforms and
developersfacing 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 ofcutting-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 andoptimizeslarge-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 andexpediteour path to commercialization.

Position Overview:

As a
Senior

AI/MLFull-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 atscale.

Whatyou’llbe doing:

• Full-Stack Development:Design, implement, andmaintainuser-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 frominceptionto 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

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

• Proficiency in building scalable…