Cerebras · San Francisco
Hardware & ElectricalHardwareFullTimeposted 6mo ago
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.
Cerebras is seeking an exceptional Senior Staff Electrical Engineer to drive our system hardware development. This role is focusing on defining and driving system architecture and strategy for high-performance compute, AI/ML accelerators and advanced ASIC platforms.
Responsibilities
Lead system architecture and hardware design from concept to production release.
Own hardware development, system specification, schematic and layout design, bring up, debug, validation and system integration.
Drive future technology development with internal and industry partners.
Collaborate with various design and operations teams: manufacturing operations & test engineering, supply chain, ASIC, mechanical, signal integrity, power delivery, layout, embedded & diagnostic, etc.
Minimum Qualifications
B.S.c, M.S.c, or Ph.D. degree in electrical engineering, or equivalent experience.
Minimum 10 years of experience as a board design engineer (exceptional candidates with other experience levels will also be considered).
Experience with system design, 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.
Experience working on server hardware, AI accelerators, hardware accelerator, datacenter, AI Hardware, enterprise product, GPU, CPU, TPU, server platform etc.
Preferred Qualifications
Demonstrated expertise in enterprise and data center products.
Solid background in execution from concept, bring up, development and product launch end-to-end product development cycle.
Deep technical knowledge of system hardware designs and trade-off from electrical, mechanical, thermal, signal and power integrity domains.
We are hiring a senior level candidate with atleast 10+ years of experience.
Location: Sunnyvale, CA
The base salary range for this position is $210,000 to $240,000+ annually. Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.
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.
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