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.
Responsibilities
Lead printed circuit board design through all development stages: from definition to implementation, bring-up, qualification, and production release.
Full responsibility for electrical specification, schematic design, components selection, and layout considerations.
Extensive lab bring-up and debugging, including developing automated benchtop setups for board characterization.
Collaborate with various design and operations teams: manufacturing operations & test engineering, supply chain, ASIC, mechanical, signal integrity, power delivery, layout, embedded & diagnostic, etc.
Skills & Qualifications
B.S.c, M.S.c, or Ph.D. degree in electrical engineering, or equivalent experience.
5 to 10 years of experience as a board design engineer (exceptional candidates with other experience levels will also be considered).
Experience with digital circuits, power delivery, voltage regulators, and high-speed signal integrity.
System-level understanding and familiarity with production environment.
Proficiency with lab/test scripting SW (e.g., Python).
Personal skills: self-instruction, multi-disciplined, multi-tasking and good interpersonal relationship.
The base salary range for this position is $150,000 to $260,000 annually. Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.
Location: Sunnyvale, California
Why Join Cerebras
People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
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.
Find out more about what it's like to work at Cerebras here!
Apply today and become part of the forefront of groundbreaking advancements in AI!
Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.
Skills Required
- B.S., M.S., or Ph.D. in Electrical Engineering or equivalent experience.
- 5 to 10 years of experience as a board design engineer.
- Experience with digital circuits, power delivery, voltage regulators, and high-speed signal integrity.
- System-level understanding and familiarity with production environments.
- Proficiency with lab/test scripting software (e.g., Python).
- Strong self-instruction, multi-discipline capability, multi-tasking, and good interpersonal skills.
What We Do
Cerebras Systems develops wafer-scale semiconductor hardware, AI supercomputers, and software/cloud services for training and inference. Its CS-2 and CS-3 systems help organizations build on-premise AI supercomputers, while pay-as-you-go cloud offerings provide developers and enterprises access to its computing platform. The company focuses on making AI training and inference faster and easier for diverse research and production workloads at scale worldwide.
