Cerebras powers the world's fastest AI inference on the biggest wafer chip. Cerebras CS-4 delivers up to 30x faster inference than GPUs.
About the role
As a lead front-end design engineer, you will be a key part of the world-class team designing and developing the next generations of the Cerebras Wafer Scale Engine (WSE).
What they're looking for
- Master’s degree in Computer Science, Electrical Engineering, or equivalent
- Can work in a hybrid work environment
- 8-15 years of experience in delivering complex, high performance high quality RTL designs
- Experience with Front End Chip integration and third-party IP integration
- Demonstrated experience in networking, high-performance computing, machine learning or related fields
- Proven track record of multiple silicon success
More about this 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 with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
As a lead front-end design engineer, you will be a key part of the world-class team designing and developing the next generations of the Cerebras Wafer Scale Engine (WSE).
This role requires deep expertise in RTL design and integration, with a strong focus on delivering high-performance, power-efficient, and scalable solutions. The role also requires close collaboration and management of external ASIC vendor. You will collaborate closely with the design verification, physical design, software...
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