The Senior Staff Performance Codesign Engineer role at Google focuses on shaping the future of AI/ML hardware acceleration through the development of cutting-edge TPU technology. This position involves bridging the gap between model architecture innovation and next-generation hardware design, while contributing to the innovation behind products used by millions. The engineer will work within a team that empowers Google customers with breakthrough capabilities and insights, driving the technical roadmap for hardware/software integration. The role requires collaboration with various teams to ensure high-performance and power-efficient accelerators for machine learning applications.

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
• 12 years of experience in computer architecture, chip architecture, or hardware-software co-design.
• Experience developing systems for performance modeling, simulation, or system analysis.
• Master's degree or PhD in Electrical Engineering, Computer Engineering, or Computer Science is preferred.
• Experience with deep learning frameworks such as PyTorch or TensorFlow.

• Define and drive the technical roadmap and architecture for the hardware/software stack.
• Act as the technical liaison between advanced research, software, and hardware teams.
• Architect and oversee the development of next-generation configurable simulation frameworks.
• Advocate system-level performance analysis across highly distributed ML systems.
• Manage cross-functional partnerships across hardware engineering, compiler development, and ML research.

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