Cerebras Systems
ASIC Architect
Sunnyvale, CA
Sponsorship not specifiedDetected 47 days ago
PythonMachine LearningLLMsCompliance
About the role
- Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device.
- OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
- Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.
Responsibilities
- Perform comprehensive PPA trade-offs for new architectural features
Requirements
- 10+ years of experience across performance analysis and modeling across GPUs, CPUs or accelerator products
- Masters/PhD in Electrical/Computer Engineering
- Strong background in computer architecture and key high level architectural trade-offs
- Comfortable standing up new performance models from scratch in Python or similar analytical environments
- Exposure to micro-code (kernel) performance bottlenecks and optimization techniques
- Good understanding of how high-level workloads map to underlying micro-architecture is desired
Nice to have
- Understanding of basic ML workload profiling techniques and model network architecture is preferred
Skills
- Five Reasons to Join Cerebras in 2026.
- Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer.
- This website or its third-party tools process personal data.
Company info
- Build a breakthrough AI platform beyond the constraints of the GPU.
- Publish and open source their cutting-edge AI research.
- Work on one of the fastest AI supercomputers in the world.
- Enjoy job stability with startup vitality.
- Our simple, non-corporate work culture that respects individual beliefs.
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