The Lead Engineer for Silicon and Software Integration at Google Cloud will focus on shaping the future of AI and ML hardware acceleration. This role involves driving the development of custom silicon solutions, particularly Tensor Processing Units (TPUs), which are essential for Google's AI applications. The engineer will work closely with cross-functional teams to ensure successful hardware and software integration, validation, and performance. This position offers the opportunity to contribute to groundbreaking innovations that impact millions of users worldwide.

• 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, and 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.
• Experience leading a cross-functional team of digital systems.

• Lead hardware, software, and system integration for custom silicon, bridging architecture, design, and compiler teams to ensure platform delivery.
• Own functional and performance validation requirements, ensuring successful demonstration 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 to streamline silicon validation.
• Design microbenchmarks and detailed validation plans based on cross-functional design specifications to verify IP functionality and performance.

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