The Staff Software Engineer, Compiler Architect, System Performance Modeling role at Google focuses on pioneering next-generation performance modeling and simulation technologies for machine learning accelerators. The team aims to bridge the gap between advanced models and large-scale product deployment, driving the evolution of AI systems. This position requires a visionary technical lead to define and own the accuracy of co-design simulation platforms. The role involves close collaboration with hardware designers, ML researchers, and product architects to tackle complex system-level performance challenges.

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in C++ or Python.
• 5 years of experience testing and launching software products.
• 5 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
• 3 years of experience with software design and architecture.

• Establish and maintain high-confidence correlation infrastructure between simulated performance and physical hardware measurements.
• Architect and evolve the simulation layer to support deep exploration of complex, business-critical workloads.
• Identify and solve system-level hardware/software bottlenecks and optimization opportunities at the critical pre-silicon stage.
• Provide high-confidence lower-bound performance estimates for future ML systems and architectures.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.