Senior AI/ML Capacity Performance Engineer

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

Benefits offered by this job

Health benefits

Dental and vision coverage

Retirement savings plan

Tuition assistance

Paid vacation and holidays

GM vehicle discounts

Employee assistance program

Job summary

General Motors Company is seeking a Senior Performance Engineer for the AV Capacity and Performance Engineering team. You will shape the long-term GPU infrastructure strategy, optimize large-scale ML workloads, and collaborate across AI/ML research, infrastructure, and cloud vendors to boost engineering velocity and reduce cloud costs.

The role requires 5+ years in high-scale infra or ML systems, strong Python and PyTorch skills, and hands-on Kubernetes, Nvidia DCGM, and Grafana proficiency.

Qualifications

• Bachelor's degree in CS or related field or equivalent practical experience.
• 5+ years of experience in high-scale infrastructure or ML systems.
• Expert Python coding skills and PyTorch ecosystem familiarity.
• Proven distributed systems and high-performance computing knowledge.
• Hands-on Kubernetes experience for orchestration.

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 speed up projects and reduce costs.
• Proactive System Scaling: Identify opportunities for architectural improvements to ensure scalability and reliability of large-scale ML training and inference environments.

Skills

Python

PyTorch ecosystem

Distributed systems

Technical communication

BigQuery

Education

Bachelor's degree in Computer Science or related field

Equivalent practical experience

Tools

Kubernetes

Nvidia DCGM

nvidia-smi

Grafana

Nvidia Nsight

Nsight Compute

AWS / GCP / Azure

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:

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.