Note: The job is a remote job and is open to candidates in USA. General Motors is a leading automotive company focused on developing autonomous vehicles. They are seeking a Senior AI/ML Performance Engineer to support their AV Capacity and Performance Engineering team, responsible for optimizing ML infrastructure and enhancing performance for autonomous vehicle development.
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)
- 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
- Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
- 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, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
- Hybrid: This role is categorized as Hybrid. This means the successful candidate is 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.
- From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions.
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