In this role, you will be responsible for ensuring that the Systems-on-Chip (SoCs) meet the power, thermal, and performance goals. You will play a critical role in the pre and post-silicon validation phases, collaborating with cross-functional teams to identify, debug, and optimize SoC behavior in use cases, as well as validating the IPs protection mechanism.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
Responsibilities
Contribute to developing and improving post-silicon test content that exercises both IP and SoC levels workloads and other compute-intensive scenarios.
Collaborate with architecture, design, and firmware teams to define comprehensive validation plans for SoC features, focusing on power consumption, thermal management, sensors behavior, and performance metrics.
Work with design and firmware teams to propose and implement solutions for optimizing SoC power efficiency and performance, including tuning core-to-memory latencies and bandwidth, power control loops, thermal control loops, etc.
Develop and maintain automated test scripts and frameworks (e.g., Python) to improve validation efficiency and coverage.
Participate in early silicon bring-up and platform bring-up activities, ensuring the stability and functionality of high-power multi-core SoCs.
Requirements: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
5 years of experience in post-silicon validation, with power and performance characterization.
Experience validating multi-core CPU/GPU/APU architectures.
Experience in programming languages such as C, C++, and Python for scripting and automation.
Experience with lab equipment such as oscilloscopes, logic analyzers, power meters, and thermal chambers.
Experience with SoC architecture, including interconnects, memory hierarchy, cache coherency, and power management concepts.
Preferred qualifications:
Experience with embedded systems programming (e.g., bare-metal, RTOS, kernel, driver programming).
Experience with version control systems (e.g., Git).
Excellent debugging and root-causing skills for hardware/software issues.
Excellent analytical, problem-solving, and communication skills.
This position is open to all candidates.