[Remote] Senior AI/ML Performance Engineer

Note: The job is a remote job and is open to candidates in USA. General Motors is a leading automotive company focused on developing autonomous vehicles. They are seeking a Senior AI/ML Performance Engineer to support the AV Capacity and Performance Engineering team, focusing on optimizing large-scale ML infrastructure and enhancing engineering efficiency.ResponsibilitiesStrategic Infrastructure Development: Adopt and run AV models to support GM’s long-term GPU system strategy and "evergreen" infrastructure roadmapPerformance Optimization: Conduct deep-dive analyses of production workloads to identify bottlenecks and propose high-impact optimization strategiesCross-Functional Collaboration: Partner with AI/ML Research, Infrastructure Engineering, and Cloud Vendors to spearhead projects that enhance engineering velocity and cost-efficiencyProactive System Scaling: Identify opportunities for architectural improvements to ensure the scalability and reliability of large-scale ML training and inference environmentsSkills5+ years of professional experience in high-scale infrastructure or ML systemsBachelor's Degree in Computer Science, a related technical field, or equivalent practical experienceExpert-level coding skills in Python and the ability to architect/debug within the PyTorch ecosystemProven track record of resolving performance issues within large-scale distributed production environmentsDeep understanding of distributed systems, specifically modern ML system design and high-performance computing (HPC)Hands-on experience with Kubernetes for orchestrating complex workloadsTechnical proficiency with Nvidia DCGM, nvidia-smi, and Grafana for real-time telemetry and observabilityExtensive experience working within major cloud ecosystems (AWS, GCP, or Azure)8+ years of relevant industry experienceWorking knowledge of Enterprise-grade Nvidia GPU architectures, including H100, B200, and GB200Experience deploying and scaling open-source models via the Hugging Face ecosystemProficiency in BigQuery for large-scale data analysis and reportingPractical experience utilizing Nvidia Nsight and Nsight Compute for kernel-level performance tuningStrong technical communication skills with the ability to translate complex infrastructure needs into actionable business insightsBenefitsBonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.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.From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions.Company OverviewGeneral Motors is an automotive company that designs, produces, markets, and distributes vehicles and vehicle parts. It was founded in 1908, and is headquartered in Detroit, Michigan, USA, with a workforce of 10001+ employees. Its website is https://www.gm.com.Company H1B SponsorshipGeneral Motors has a track record of offering H1B sponsorships, with 132 in 2026, 787 in 2025, 740 in 2024, 450 in 2023, 795 in 2022, 748 in 2021, 452 in 2020. Please note that this does not guarantee sponsorship for this specific role.