[Remote] Senior AI/ML Performance Engineer

Note: The job is a remote job and is open to candidates in USA. General Motors provides autonomous vehicle infrastructure, cloud infrastructure, and ML/AI GPU platforms for research and development teams. The Senior AI/ML Performance Engineer will support large-scale ML infrastructure strategy through performance analysis, optimization, capacity planning, and engineering for autonomous vehicle systems.

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

• 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)
• Ability to sit remote in Seattle, WA until office opens
• 8+ years of relevant industry experience
• Working knowledge of Enterprise-grade Nvidia GPU architectures, including H100, B200, and GB200
• Experience deploying and scaling open-source models via the Hugging Face ecosystem
• Proficiency in BigQuery for large-scale data analysis and reporting
• Practical experience utilizing Nvidia Nsight and Nsight Compute for kernel-level performance tuning
• Strong technical communication skills with the ability to translate complex infrastructure needs into actionable business insights

Benefits

• An incentive pay program offers payouts based on company performance, job level, and individual performance.
• Medical benefits
• Dental benefits
• Vision benefits
• Health Savings Account
• Flexible Spending Accounts
• Retirement savings plan
• Sickness and accident benefits
• Life insurance
• Paid vacation & holidays
• Tuition assistance programs
• Employee assistance program
• GM vehicle discounts
• Hybrid work arrangement, with the successful candidate expected to report to Sunnyvale Technical Center at minimum three days per week or at the hiring manager’s discretion
• Ability to sit remote in Seattle, WA until office opens

Company Overview

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