The opportunity
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.
What you'll do
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.
What they're looking for
- 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.
- Develop wafer bring-up flow utilizing Python and shell scripts to capture the: steps required to bring up a wafer in a logical, easy-to-use flow.
