AI Runtime & Performance Lead

📋 Description

• Own the technical direction for AI runtime architecture and performance across supported PC
• Define model execution strategies across CPU, GPU, and NPU resources, balancing responsiveness
• Determine how different model types and workload patterns should influence runtime design, hardware
• Establish architectural approaches for concurrent agents and models, including resource
• Translate customer experience goals into performance budgets, system requirements, and design
• Define benchmark methodology and representative workload scenarios to evaluate architectural

🎯 Requirements

• 10+ years of experience in software engineering, systems architecture, runtime systems, or a
• Demonstrated experience defining architecture and performance strategy for AI runtimes, inference
• Strong understanding of heterogeneous computing, including CPU, GPU, and NPU execution and the
• Deep knowledge of memory behavior, concurrency, scheduling, and the interaction among applications
• Strong Linux and Windows expertise, with the ability to assess how operating system capabilities
• Experience establishing performance requirements, benchmark methodologies, and validation

🎁 Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account