Senior AI/ML Performance Engineer

Description About Us :The AV Infrastructure org provides developer environments, cloud infrastructure, and ML/AI GPU platforms for AV research and development teams to build, test, and run faster in GM. The Role :GM is looking for a Senior Performance Engineer to join the AV Capacity and Performance Engineering team in the AV Infrastructure org to 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, identify and execute optimization projects, and provide capacity planning and engineering expertise to support GM's efforts in developing autonomous vehicles (AV). What you'll be doing (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. Your skills & 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: Proven track record of resolving performance issues within large-scale distributed production environments.