Senior AI/ML Performance Engineer — Hybrid (Remote-Eligible)

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

Benefits offered by this job

Health benefits

Retirement plan

Tuition assistance

GM vehicle discounts

Job summary

General Motors seeks a Senior Performance Engineer to join the AV Capacity and Performance Engineering team in Sunnyvale. You will help shape large-scale ML infrastructure, optimize GPU-driven workloads, and guide cost-efficient, scalable solutions across cloud platforms.

The role requires 5+ years in high-scale infrastructure, Python and PyTorch expertise, and strong collaboration with AI/ML research, infra, and cloud partners.

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, modern ML system design and HPC.
• Hands-on experience with Kubernetes for orchestrating complex workloads.
• Technical proficiency with Nvidia DCGM, nvidia-smi, and Grafana for real-time telemetry.
• 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 enhance engineering velocity and cost-efficiency.
• Proactive System Scaling: Identify opportunities for architectural improvements to ensure scalability and reliability of large-scale ML training and inference environments.

Skills

Python

PyTorch

Distributed systems

HPC

Technical communication

Cloud concepts

Education

Bachelor's Degree in Computer Science or related field

Tools

Kubernetes

Nvidia DCGM

nvidia-smi

Grafana

Hugging Face

BigQuery

Nvidia Nsight

Nsight Compute

AWS

GCP

Azure

Job description

General Motors seeks a Senior Performance Engineer to join the AV Capacity and Performance Engineering team in Sunnyvale. You will help shape large-scale ML infrastructure, optimize GPU-driven workloads, and guide cost-efficient, scalable solutions across cloud platforms.

The role requires 5+ years in high-scale infrastructure, Python and PyTorch expertise, and strong collaboration with AI/ML research, infra, and cloud partners.