Senior ML Infrastructure Engineer, Inference Platform

Job Description Senior ML Infrastructure Engineer (ML Inference Platform). About the Team The ML Inference Platform is part of the AV ML Infrastructure organization. Our team owns the cloud‑agnostic, reliable, and cost‑efficient platform that powers GM’s AI efforts. We serve teams developing autonomous vehicles (L3/L4/L5) and other groups building AI‑driven products for GM and its customers. We enable rapid innovation and feature development by optimizing for high‑priority, ML‑centric use cases. Our platform supports the serving of state‑of‑the‑art machine learning models for experimental, online and bulk inference, focusing on performance, availability, concurrency, and scalability while maximizing GPU utilization across platforms (B200, H100, A100, and more) and maintaining reliability and cost efficiency. About the Role We are seeking a Senior ML Infrastructure engineer to help build and scale robust platforms for ML inference workflows. In this role, you’ll work closely with ML engineers and researchers to ensure efficient model serving and inference in production for workflows such as data mining, labeling, model distillation, evaluations, simulations and more. This is a high‑impact opportunity to influence the future of AI infrastructure at GM. You will play a key role in shaping the architecture, roadmap and user‑experience of a robust ML inference service supporting real‑time, batch, and experimental inference needs. The ideal candidate brings experience in designing distributed systems for ML, strong problem‑solving skills, and a product mindset focused on platform usability and reliability. What you’ll be doing Design and implement core platform backend software components. Collaborate with ML engineers and researchers to understand critical workflows, parse them to platform requirements, and deliver incremental value. Lead technical decision‑making on model serving strategies, orchestration, caching, model versioning, and auto‑scaling mechanisms for highly optimised use of accelerators. Drive the development of monitoring, observability and metrics to ensure reliability, performance and resource optimisation of inference services. Proactively research and integrate state‑of‑the‑art model serving frameworks, hardware accelerators and distributed computing techniques. Lead technical initiatives across GM’s ML ecosystem. Raise the engineering bar through technical leadership and establishing best practices. Contribute to open‑source projects and represent GM in relevant communities. Minimum Requirements 5+ years of industry experience with a focus on machine learning systems or high‑performance backend services. Expertise in Python, C++ or other relevant coding languages. Expertise in ML inference, model serving frameworks (triton, rayserve, vLLM, etc.). Strong communication skills and a proven ability to drive cross‑functional initiatives. Ability to thrive in a dynamic, multi‑tasking environment with ever‑evolving priorities. Preferred Qualifications Deep expertise building zero‑to‑one ML infrastructure platforms. Experience working with or designing interfaces, APIs and clients for ML workflows. Experience with Ray framework and/or vLLM. Experience with distributed systems and handling large‑scale data processing. Familiarity with telemetry and other feedback loops to inform product improvements. Familiarity with hardware acceleration (GPUs) and optimisation for inference workloads. Compensation Salary range: $155,420 to $205,900 (actual offer will vary based on role‑specific factors). Bonus potential: incentive pay program offers payouts based on company performance, job level and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programmes, including medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programmes, employee assistance programme, GM vehicle discounts and more. Relocation This role may be eligible for relocation benefits. Remote/Hybrid This role is based remotely but 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. 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, please email us or call View phone number on click.appcast.io. In your email, 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 Dormont Manufacturing Co