Senior AI/ML Scale & Performance Architect

General Motors Company; United States; Hybrid; USD 145,000 - 261,000; Full time

Job summary

General Motors Company is seeking a Senior Performance Engineer to join the AV Capacity and Performance Engineering team within the AV Infrastructure organization. You will help optimize large-scale ML training and inference environments and shape the cloud and GPU strategy for autonomous vehicle research.

The role requires 5+ years of experience in high-scale ML systems and infrastructure, deep knowledge of distributed systems, and hands-on Kubernetes and NVIDIA tooling.

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 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

HPC

Kubernetes

Nvidia DCGM

nvidia-smi

Grafana

AWS/GCP/Azure

Communication skills

GPU monitoring

Education

Bachelor's Degree in Computer Science or related field

Tools

Nvidia Nsight

Nsight Compute

Hugging Face

Docker

Grafana

BigQuery

Job description

General Motors Company is seeking a Senior Performance Engineer to join the AV Capacity and Performance Engineering team within the AV Infrastructure organization. You will help optimize large-scale ML training and inference environments and shape the cloud and GPU strategy for autonomous vehicle research.

The role requires 5+ years of experience in high-scale ML systems and infrastructure, deep knowledge of distributed systems, and hands-on Kubernetes and NVIDIA tooling.