Machine Learning Hardware Architect, Google Cloud Silicon
Hybrid (Tel Aviv, Israel; Haifa, Israel)Full-timePosted 1w ago
About the role
Role focused on shaping the future of AI/ML hardware acceleration, leading the architecture of Google Edge AI accelerators and TPU integration, with impact on AI/ML models and hyperscale computing.
Responsibilities
- Create differentiated architectural innovations for Google’s semiconductor Edge AI roadmap.
- Monitor industrial and academic trends in artificial intelligence and determine where they should intersect our roadmaps.
- Evaluate the power, performance, and cost of prospective architecture and subsystems.
- Engage with system and application software engineers to ensure optimization of the entire hardware/software stack.
- Engage with design, verification, and validation engineers to realize the architecture.
Qualifications
- Bachelor's degree in Electrical Engineering, Computer Engineering, or equivalent practical experience.
- 10 years of experience in SoC engineering and architecture.
- Experience with performance modeling, workload analysis, and hardware-software co-design.
Skills
Required:SoC engineering and architecturePerformance modelingHardware-software co-design
Last updated Oct 23, 2026. Interested? Apply on the company site.
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