Senior AI/ML Performance Engineer — Scale GPU ML Infra

General Motors Ventures; Washington; Hybrid; Confidential; Full time

Benefits offered by this job

Health benefits

Retirement plan

GM vehicle discounts

Tuition assistance

Job summary

General Motors in Washington state seeks a Senior Performance Engineer to join the AV Capacity and Performance Engineering team within the AV Infrastructure group to advance large-scale ML infrastructure for autonomous vehicles.

You will analyze production workloads, identify bottlenecks, and collaborate with AI/ML research, infrastructure engineering, and cloud vendors to improve performance and cost efficiency.

Qualifications

• 5+ years of professional experience in high-scale infrastructure or ML systems.
• Bachelor’s Degree in Computer Science or related field.
• Expert-level Python and PyTorch with debugging skills.
• Experience with Kubernetes and cloud platforms (AWS/GCP/Azure).
• Knowledge of Nvidia DCGM, nvidia-smi, and Grafana.

Responsibilities

• Strategic infrastructure development for long-term GPU strategy.
• Performance optimization of production workloads.
• Cross-functional collaboration with AI/ML research, infra, and cloud vendors.
• Proactive system scaling for large-scale ML training and inference.

Skills

Python (expert)

PyTorch

Distributed systems

Kubernetes

GPU monitoring

Cloud platforms

Education

Bachelor's Degree in Computer Science

Tools

Nvidia DCGM

nvidia-smi

Grafana

Job description

General Motors in Washington state seeks a Senior Performance Engineer to join the AV Capacity and Performance Engineering team within the AV Infrastructure group to advance large-scale ML infrastructure for autonomous vehicles.

You will analyze production workloads, identify bottlenecks, and collaborate with AI/ML research, infrastructure engineering, and cloud vendors to improve performance and cost efficiency.