The Lead Engineer for Silicon and Software Integration at Google Cloud will focus on shaping the future of AI/ML hardware acceleration. This role involves driving the development of custom silicon solutions, specifically Tensor Processing Units (TPUs), that power Google's AI applications. The engineer will work closely with cross-functional teams to ensure successful hardware/software integration and validation. This position is critical for meeting chip development criteria and ensuring performance across various environments.

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
• 8 years of experience in computer architecture, embedded firmware, ASIC design or verification, or integration of first or third-party IPs.
• Experience in hardware/software integration including developing and debugging firmware.
• Experience with RTL development design or design verification.

• Lead hardware, software, and system integration for custom silicon.
• Own functional and performance validation requirements across tape-out and post-silicon phases.
• Drive ML compute feature bring-up by integrating first and third-party IPs and developing hardware-validating firmware.
• Execute HW-SW co-simulation strategies utilizing RTL simulation, emulation, and FPGA environments.
• Design microbenchmarks and detailed validation plans based on cross-functional design specifications.

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