Technical Staff

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.

This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

About the Role

We are seeking a Sr. Technical Staff to support the post-silicon validation of Cerebras Wafer Scale Engines. In this role, you will test and debug new silicon, develop automation and debug tools, support wafer bring-up and manufacturing operations, and collaborate across hardware and software engineering teams to ensure high-quality system performance.

Responsibilities

• Perform post-silicon validation of Cerebras Wafer Scale Engines. Test and debug issues on new silicon.

• Test, analyze, and characterize high-speed serial interfaces to verify compliance with hardware specifications, record performance data, and recommend design modifications to optimize functionality.

• Work with the silicon and operations team to test, bring up, and run burn-in on wafer-scale systems.

• Support manufacturing operations to utilize the wafer bring-up flow. Perform wafer bring-ups, diagnose, and debug problems encountered.

• Develop and implement hardware to ensure compliance with design specifications.

• Collaborate with hardware design engineers and system software engineers to review specifications and recommend changes that will improve the quality and verifiability of the hardware designs.

• Create and maintain automated regression test scripts, using Python and/or Bash, that ensure all tests are run and pass after each change to the design, testbench, tests, or reference model.

• Work with system team members to diagnose system-related failures. Understand the key system interfaces to FPGAs, power, and cooling, and apply that knowledge to the debug of silicon features.

• Develop debug tools in Python to program and analyze the behavior of the Wafer Scale Engine.