Job Description

In this role, you will work on shaping the future of AI/ML hardware acceleration, specifically focusing on the development and validation of custom silicon solutions for Google's TPU technology. You will be responsible for hardware/software integration and validation, ensuring that systems are functional and performant while collaborating with cross-functional teams.

Requirements

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
5 years of experience in at least two of the following: computer architecture, embedded firmware, ASIC design or verification, or the integration and enablement of first/third party IPs.
Experience in Hardware/Software integration and validation.
Experience with Register-Transfer Level (RTL) development, design verification, evaluation.

Responsibilities

Review chip specifications and designs, developing integration plans with software and system partners while coordinating Hardware/Software delivery.
Lead the bringup of ML Compute features, integrating and validating complex hardware/software designs, including third-party IPs.
Develop validation firmware to verify hardware functionality.
Execute Hardware Software co-simulation methodologies leveraging RTL, Emulation, and FPGA environments.
Design validation tests and microbenchmarks to verify IP functionality and performance.
Own debug discussions with Design/DV/Software/Architecture teams and help root-cause functional failures and performance issues.

Benefits

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

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