Senior Machine Learning Infrastructure EngineerGeneral Motors • United States
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Senior Machine Learning Infrastructure Engineer
General Motors
- United States
- United States
À propos
AI Validation Platform
team is dedicated to creating a cloud-agnostic, reliable, and cost-effective infrastructure that supports GM's autonomous vehicle (L3/L4/L5) initiatives. Our platform is designed for the simulated validation of cutting-edge machine learning models while emphasizing performance, availability, concurrency, and scalability. We empower rapid innovation and development by focusing on high-impact, ML-centric use cases. About the Role: We are looking for a Senior Machine Learning Infrastructure Engineer to design and scale robust compute platforms for simulation, data labeling, and data generation workflows. In this role, your primary focus will be on optimizing performance and high utilization of advanced GPUs while ensuring platform reliability. The ideal candidate has experience in building and managing scalable distributed systems, possesses strong problem-solving abilities, and demonstrates a proactive approach. You will be instrumental in shaping the architecture, roadmap, and user experience of a resilient service that meets our ML simulation and hardware-in-loop validation needs. We seek someone with a strong background in designing distributed systems and a commitment to enhancing platform efficiency and reliability. This is a high-impact opportunity to significantly influence the future of AI infrastructure at GM. What You'll Be Doing: Collaborate with simulation engineers, ML engineers, and researchers to analyze critical workflows, translate them into platform requirements, and deliver incremental improvements. Take ownership of the technical roadmap and lead decisions regarding compute architecture, caching, capacity provisioning, and auto-scaling mechanisms. Drive the development of monitoring, observability, and metrics to ensure reliability, performance, and resource optimization. Research and integrate new frameworks, hardware accelerators, and distributed computing methods. Lead large-scale technical initiatives across GM's ML infrastructure. Enhance engineering practices by providing technical leadership and establishing best practices. At a Minimum We'd Like You To Have: 8+ years of industry experience, particularly in high-performance backend services. Strong expertise in container technologies like Docker and Kubernetes. Profound knowledge of Go or similar programming languages. Experience with cloud platforms such as GCP, Azure, or AWS. Track record of delivering cross-functional projects successfully. Excellent communication skills with a proven ability to drive collaborative initiatives. The capacity to excel in a dynamic, multi-tasking environment with shifting priorities. Preferred Qualifications: Hands-on experience with Cloud VM services, specifically Google Compute Engine. Familiarity with hardware-in-the-loop validation systems. Background in high performance computing (HPC). Knowledge of telemetry and feedback loops for product enhancement. Understanding of hardware acceleration (GPUs) and performance optimization techniques. Why Join Us? If you're eager to tackle complex engineering challenges, see your work impact real-world AV applications, and help shape the future of AI infrastructure at GM, this team welcomes you. Compensation:
The compensation details provided are an estimate based on market conditions and may not reflect positions located outside certain states. The salary range for this role is $197,000 to $326,000, with actual salaries varying based on relevant factors. Bonus Potential:
An incentive pay program is available based on company and individual performance. Benefits:
GM provides a comprehensive range of health and wellbeing benefits, including medical, dental, vision, retirement plans, vacation, tuition assistance, and employee discounts. We are dedicated to creating a workplace that fosters inclusion and belonging, free from discrimination. We believe in the power of diverse teams and are committed to leading change through our actions. If you require accommodation during the application process, please reach out with your needs and the job title you are applying for.
Compétences linguistiques
- English
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