Senior TPU RTL Design Engineer, Networking, Inter-Chip Interconnects
Sunnyvale, CA, USA · Senior
Sponsorship not specified$163k-$237kDetected 13 hours ago
PythonGCPMachine LearningElectrical EngineeringResearch
About the role
- About the job In this role, you'll work to shape the future of AI/ML hardware acceleration.
Responsibilities
- Lead the microarchitecture and RTL execution to deliver high-performance network design components which meet strict power, performance and area (PPA) goals and satisfy established coding and quality guidelines.
- Collaborate with system architects and software/firmaware teams to ensure alignment between system and IP requirements.
- Own the complete RTL lifecycle from initial microarchitecture, coding and documentation to ensuring sign-off readiness for Lint, CDC, and synthesis.
- Collaborate with the Verification team to develop test plans, debug RTL, and ensure functional correctness.
- Work closely with the Physical Design team to meet timing, area, power, and manufacturability requirements.
Requirements
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- 5 years of experience in high-performance ASIC design.
- Experience architecting or designing RTL solutions for digital systems.
- Experience with high-speed interconnects.
Nice to have
- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
- 7 years of experience in high-performance ASIC design.
- Experience with IEEE networking standards and applications.
- Experience with scripting languages (e.g., Tcl, Python or Perl).
- Familiarity with one or more industry-standard tools for CDC, RDC, RTL Linting, or LEC.
- In this role, you'll work to shape the future of AI/ML hardware acceleration.
- Our hardware accelerators power nearly every product Google offers.
- Our primary focus is AI acceleration.
Compensation
- US: $163000 - $237000 (USD) + 15% bonus target + equity + benefits
This listing is sourced directly from Google's careers page and normalized into a canonical job model.