Senior AI/ML Full-Stack Engineer, Pipelines & Lineage

Job Overview General Motors (GM), a company driving the future of mobility with advanced self-driving and electric vehicle technologies. The AV Pipelines & Lineage team at GM builds core infrastructure that supports the end‑to‑end AI lifecycle of ML pipelines – from local experimentation and large‑scale training to evaluation, lineage tracking, and operational visibility. Our platforms span both backend systems and user‑facing interfaces, enabling ML engineers and researchers to develop, understand, and evolve models efficiently across diverse environments. We enable reproducible, traceable, and efficient ML experimentation, significantly accelerating engineering velocity across GM's AI and ML initiatives. Role 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. 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 will do 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 while ensuring systems are secure, reliable, and performant at scale. 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, translating complex backend concepts into clear, usable interfaces. Design and implement cloud solutions on GCP or Azure, creating scalable distributed computing and data processing pipelines. Take full ownership of technical projects from inception to completion, contributing to the product roadmap and making informed decisions on major technical trade‑offs. Engage effectively in team planning, code reviews, and design discussions, considering the impact of projects across multiple teams and proactively managing conflicts. Conduct technical interviews, onboard, and mentor engineers and interns, fostering a culture of growth and knowledge sharing. Required Qualifications 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. Preferred Qualifications Experience with open‑source orchestration platforms such as Kubeflow, Flyte, Airflow, etc. Experience with Google Cloud Platform, Microsoft Azure, or Amazon Web Services. Experience with Kubernetes. Understanding of Machine Learning (ML) models and pipelines. Python, C++, or Golang proficiency. Relevant publications. Compensation The salary range for this role is $172,420 to $297,500. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus potential: an incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits Medical, dental, and vision coverage. Health Savings Account and Flexible Spending Accounts. Retirement savings plan. Sickness and accident benefits. Life insurance. Paid vacation and holidays. Tuition assistance programs. Employee assistance program. GM vehicle discounts. Relocation This position may be eligible for relocation benefits. Remote/Hybrid This role is based remotely. If you live within a 50‑mile radius of Mountain View, you are expected to report to that location three times a week, at minimum. 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. 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. 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 View email address on click.appcast.io or call View phone number on click.appcast.io. 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. #J-18808-Ljbffr General Motors