Job Description

Minimum qualifications:

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
  
• 4 years of experience with post-silicon validation, with a focus on power and performance characterization.
• Experience with embedded systems programming (bare-metal, RTOS, kernel, driver programming).
• Experience with programming languages such as C, C++, and Python (for scripting and automation).
• Experience in debugging and root-causing.

Preferred qualifications:

• Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
  
• Experience validating multi-core CPU/GPU/APU architectures.
• Experience with lab equipment such as oscilloscopes, logic analyzers, power meters, and thermal chambers.
• Deep understanding of SoC architecture, including interconnects, memory hierarchy, cache coherency, and power management concepts.
• Familiarity with version control systems (e.g., Git), including excellent analytical, problem-solving, and communication skills.

About the job

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.

Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.

Responsibilities

• Utilize performance and power models from the architecture team, as well as lab measurements, to validate and tune performance against established goals.
• Exercise open source benchmarks, analyze the results, and find optimization opportunities. Design and build tests to verify that the SoC design meets those targets.
  
• Analyze complex problems, identify core design weaknesses, and drive the resolution of performance issues in both pre- and post-silicon environments.
  Collaborate closely with design, validation, and architecture teams to ensure hardware and software designs interface correctly and deliver a product.
• Develop performance measurement frameworks, including Key Performance Indicators (KPIs), to produce regular reports and dashboards that support stakeholder decision-making. Drive efforts to productize features that improve the performance and power characteristics of a design.
• Develop and implement advanced technologies for running "benchmark representations" on pre-silicon environments.