Senior AI/ML Performance Engineer

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

Job Description

About Us :

The AV Infrastructure org provides developer environments, cloud infrastructure, and ML/AI GPU platforms for AVresearch anddevelopmentteams to build, test, and run fasterin GM.

The Role :

GM is looking for aSeniorPerformanceEngineer to join the AV Capacity and Performance Engineering teamin the AVInfrastructure orgto support our critical efforts in developing autonomous vehicles.The mission of the AVCPE team is to provide input into large scale ML infrastructure strategy, advise on key decisions affecting our cloud budget,identifyand execute optimization projects, and provide capacity planning and engineeringexpertiseto support GM’s efforts in developing autonomous vehicles (AV).

Whatyou’llbe doing(Responsibilities)

• Strategic Infrastructure Development: Adopt and run AVmodels tosupport GM’s long-term GPU system strategy and “evergreen” infrastructure roadmap.

• Performance Optimization: Conduct deep-dive analyses of production workloads toidentifybottlenecks 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: Identifyopportunities for architectural improvements to ensure the scalability and reliability of large-scale ML training and inference environments.

Yourskills & abilities (Required Qualifications)

• Experience: 5+ years of professional experience in high-scale infrastructure or ML systems.

• Education: Bachelor’s Degree in Computer Science, a related technical field, or equivalent practical experience.

• Software Proficiency: Expert-level coding skills in Python and the ability to architect/debug within the PyTorch ecosystem.

• Systems Engineering: Proventrack recordof resolving performance issues within large-scale distributed production environments.

• Architectural Knowledge: Deep understanding of distributed systems, specifically modern ML system design and high-performance computing (HPC).

• Containerization: Hands-on experience with Kubernetes for orchestrating complex workloads.

• GPU Monitoring: Technicalproficiencywith Nvidia DCGM , nvidia-smi , and Grafana for real-time telemetry and observability.

• Cloud Platforms: Extensive experience working within major cloud ecosystems ( AWS, GCP, or Azure ).

Whatwillgiveyouacompetitiveedge (Preferred Qualifications)

• Advanced Experience: 8+ years of relevant industry experience.

• Hardware Expertise: Working knowledge of Enterprise-grade Nvidia GPU architectures, including H100, B200, and GB200.

• Model Deployment: Experience deploying and scaling open-source models via the Hugging Face ecosystem.

• Data Analytics: Proficiencyin BigQuery for large-scale data analysis and reporting.

• Profiling Tools: Practical experience utilizing Nvidia Nsight and Nsight Compute for kernel-level performance tuning.

• Soft Skills: Strong technical communication skills with the ability to translate complex infrastructure needs into actionable business insights.

Hybrid

This role is categorized asHybrid. This means the successful candidate is expected to report toSunnyvale Technical Centeratminimumthree days per week or at the hiringmanager’sdiscretion. Ability to sit remote in Seattle, WA until office opens.

Compensation

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paidin accordance withapplicable state laws. The compensation may not be representative for positionslocatedoutside of New York, Colorado, California, or Washington.

• The salary range for this role: is$144,700to$261,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentivepayprogram offers payouts based on company performance, job level, and individual performance.

• Benefits: GM offers a variety of health and wellbeing benefit programs.Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuitionassistanceprograms, employeeassistanceprogram, GM vehicle discounts and more.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we’re looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.