Sr. Technical Staff - Post-Silicon Validation

About the role

Cerebras Systems builds the world's largest AI chip, the Wafer Scale Engine, which delivers training and inference speeds over 10 times faster than GPU-based cloud services. The company is looking for a Sr. Technical Staff member to support the post-silicon validation of these engines. You will test and debug new silicon, develop automation and debug tools, support wafer bring-up and manufacturing operations, and work with hardware and software engineering teams.

Key responsibilities

• Perform post-silicon validation of Cerebras Wafer Scale Engines, testing and debugging issues on new silicon
• Test, analyze and characterize high-speed serial interfaces, record performance data and recommend design improvements
• Work with the silicon and operations team to test, bring up and run burn-in on wafer-scale systems
• Support manufacturing operations and perform wafer bring-ups, diagnosing and debugging problems
• Develop hardware to ensure compliance with design specifications and review designs with hardware and system software engineers
• Create and maintain automated regression test scripts in Python and/or Bash that run after each change
• Diagnose system failures, understand interfaces to FPGAs, power and cooling, and use that knowledge to debug silicon features
• Develop debug tools in Python and document issues, tools and flows

Required profile

• Master's degree or foreign equivalent in Electrical Engineering, Computer Engineering or a related field
• Three years of experience as an Application Engineer, Sr. Technical Staff, Hardware Engineer or similar

Required skills

• Electrical signal integrity analysis
• Hardware bring-up and debug
• Functional and electrical characterization
• Test automation with scripting languages
• High-speed interfaces and protocols such as Ethernet, CPRI or Interlaken