Senior AI/ML Capacity & Performance Engineer (Hybrid/Remote)

General Motors Company; Sunnyvale (CA); Hybrid; USD 145,000 - 261,000; Full time

Benefits offered by this job

Health benefits

Dental and vision coverage

Retirement savings plan

Tuition assistance

Paid vacation and holidays

GM vehicle discounts

Employee assistance program

Job summary

General Motors Company is seeking a Senior Performance Engineer for the AV Capacity and Performance Engineering team. You will shape the long-term GPU infrastructure strategy, optimize large-scale ML workloads, and collaborate across AI/ML research, infrastructure, and cloud vendors to boost engineering velocity and reduce cloud costs.

The role requires 5+ years in high-scale infra or ML systems, strong Python and PyTorch skills, and hands-on Kubernetes, Nvidia DCGM, and Grafana proficiency.

Qualifications

• Bachelor's degree in CS or related field or equivalent practical experience.
• 5+ years of experience in high-scale infrastructure or ML systems.
• Expert Python coding skills and PyTorch ecosystem familiarity.
• Proven distributed systems and high-performance computing knowledge.
• Hands-on Kubernetes experience for orchestration.

Responsibilities

• Strategic Infrastructure Development: Adopt and run AV models to support GM's long-term GPU system strategy and evergreen infrastructure roadmap.
• Performance Optimization: Conduct deep-dive analyses of production workloads to identify bottlenecks and propose high-impact optimization strategies.
• Cross-Functional Collaboration: Partner with AI/ML Research, Infrastructure Engineering, and Cloud Vendors to speed up projects and reduce costs.
• Proactive System Scaling: Identify opportunities for architectural improvements to ensure scalability and reliability of large-scale ML training and inference environments.

Skills

Python

PyTorch ecosystem

Distributed systems

Technical communication

BigQuery

Education

Bachelor's degree in Computer Science or related field

Equivalent practical experience

Tools

Kubernetes

Nvidia DCGM

nvidia-smi

Grafana

Nvidia Nsight

Nsight Compute

AWS / GCP / Azure

Job description

General Motors Company is seeking a Senior Performance Engineer for the AV Capacity and Performance Engineering team. You will shape the long-term GPU infrastructure strategy, optimize large-scale ML workloads, and collaborate across AI/ML research, infrastructure, and cloud vendors to boost engineering velocity and reduce cloud costs.

The role requires 5+ years in high-scale infra or ML systems, strong Python and PyTorch skills, and hands-on Kubernetes, Nvidia DCGM, and Grafana proficiency.