Senior AI/ML Performance Architect - Hybrid

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

Benefits offered by this job

Health benefits

Retirement plan

GM vehicle discounts

Tuition assistance

Paid vacation

Job summary

General Motors LLC in Sunnyvale is seeking a Senior Performance Engineer to join the AV Capacity and Performance Engineering team. You will optimize large-scale ML infrastructure, drive GPU system strategy, and help manage cloud budgets while enabling faster AI development for autonomous vehicles.

You will analyze production workloads, resolve performance bottlenecks, and collaborate with AI/ML researchers, infrastructure engineers, and cloud vendors to scale training and inference environments,

Qualifications

• 5+ years of professional experience in high-scale infrastructure or ML systems.
• Bachelor’s Degree in Computer Science, a related technical field, or equivalent practical experience.
• Expert-level coding skills in Python and the ability to architect/debug within the PyTorch ecosystem.
• proven track record of resolving performance issues within large-scale distributed production environments.
• Deep understanding of distributed systems, specifically modern ML system design and high-performance computing (HPC).
• Hands-on experience with Kubernetes for orchestrating complex workloads.
• Technical proficiency with Nvidia DCGM, nvidia-smi, and Grafana for real-time telemetry and observability.
• Extensive experience working within major cloud ecosystems (AWS, GCP, or Azure).

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 spearhead projects that enhance engineering velocity and cost-efficiency.
• Proactive System Scaling: Identify opportunities for architectural improvements to ensure the scalability and reliability of large-scale ML training and inference environments.

Skills

Python

PyTorch

Distributed systems

Kubernetes

Cloud platforms

GPU monitoring

Nvidia DCGM

nvidia-smi

Grafana

ML infrastructure

Education

Bachelor’s Degree in Computer Science

Tools

Nvidia Nsight

Job description

General Motors LLC in Sunnyvale is seeking a Senior Performance Engineer to join the AV Capacity and Performance Engineering team. You will optimize large-scale ML infrastructure, drive GPU system strategy, and help manage cloud budgets while enabling faster AI development for autonomous vehicles.

You will analyze production workloads, resolve performance bottlenecks, and collaborate with AI/ML researchers, infrastructure engineers, and cloud vendors to scale training and inference environments,