Senior Mechanical Engineer
Cerebras Systems · Sunnyvale, CA · Systems
About this role
Cerebras Systems is hiring a senior-level Hardware Engineer in the software engineering function based in Sunnyvale, CA. The posting calls out experience with C#, LLMs, Testing, Agile. Listed education preference: a bachelor's degree or equivalent. Compensation is listed at $190,000–$230,000 per year.
- Role
- Hardware Engineer
- Function
- software engineering
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Sunnyvale, CA
- Education
- Bachelor's degree
- Department
- Systems
More roles at Cerebras Systems
Job description
from Cerebras Systems careersCerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. 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. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.
Cerebras' current customers include top 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.
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. 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.
About The Role
As a Senior Mechanical Engineer at Cerebras, you will lead the design of mechanical systems for our next-generation wafer-scale engine. Your responsibilities will include ensuring compliance with specifications, validating manufacturability, and delivering a high-quality product in a fast-paced environment—tackling some of the most challenging problems in the rapidly evolving AI space.