Senior AI/ML Capacity Engineer
General Motors (GM)
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How this pay compares to similar roles
This role pays less than 62% of similar roles. Most pay $175,593–$246,150 — the shaded band above. At the midpoint, this role pays about $203k versus about $211k for comparable roles.
Based on 240 similar postings.
Employer
General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.
General Motors (GM) currently has 116 open roles on FindRole.
Listed pay typically runs $160,200–$245,000 across 59 roles with salary data.
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At a glance
As a Senior AI/ML Performance Engineer within the AV Capacity and Performance Engineering team, you will support critical efforts in developing autonomous vehicles by managing large-scale ML infrastructure strategy. You will perform deep-dive analyses of production workloads to identify bottlenecks, execute optimization projects, and provide capacity planning for training and inference environments. Your daily work involves collaborating with research teams and cloud vendors to improve engineering velocity and cost-efficiency while ensuring system scalability. The role requires expert-level Python coding within the PyTorch ecosystem, along with experience in Kubernetes, distributed systems, and high-performance computing. You will utilize tools such as Nvidia DCGM, Grafana, BigQuery, and Nvidia Nsight for telemetry and kernel-level tuning. Technical requirements include proficiency with major cloud platforms like AWS, GCP, or Azure, and knowledge of enterprise-grade Nvidia GPU architectures.
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