Workplace
On-site
Employment
Full-Time
Published
May 8, 2026
Closes
No date supplied
The role
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 https://openai.com/index/cerebras-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
Requirements
Department: Software; Team: Software