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Salary
$230k – $280k per year
Location
In office (Sunnyvale)
Seniority
Staff · 10+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Cerebras Systems is an American computer hardware company founded in 2016 and headquartered in Sunnyvale, California that builds accelerators for artificial intelligence at wafer scale. Instead of assembling clusters from many small chips, it manufactures a single processor the size of an entire silicon wafer, the Wafer Scale Engine, which removes most of the communication overhead in large model training and inference. The company sells CS-series systems to research laboratories and enterprises, operates its own inference cloud known for very high token throughput, and has built large supercomputers with partners including the Gulf technology group G42.

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.

About The Role

Join our close-knit physical design team where you'll excel in synthesizing, placing, and routing high speed designs. Experience the full spectrum of physical design and implementation, collaborating closely with the RTL team and integrating these blocks seamlessly into the full-chip architecture.

Skills and Qualifications

Required:

  • 10+ years of physical design/verification experience.

  • Strong knowledge of block level and full-chip physical verification methodology.

  • Strong background in block physical design, Synthesis, PDV and IR.

  • Expert at optimizing for the best power/performance and area.

  • Experience with the complete physical design flow. Knowledge of Synopsys tool suite is a plus.

  • Expert with ICV or Calibre tools resolving block and full-chip DRC and LVS issues.

  • Expert with IR/EM analysis and resolution.

  • Strong ability in scripting languages like Tcl and Python. Ability to make flow enhancements.

  • Demonstrated ability to work with RTL teams to optimize for physical design.

  • Should demonstrate ownership, deep dive and should demonstrate strong fundamental understanding of PD concepts.

Preferred:

  • Experience doing full chip floor planning and integration.

  • Knowledge of clock distribution.

  • Knowledge of cooling analysis.

  • STA would be good to have.

  • Knowledge of 2.5D or 3D packaging solutions.

The salary range for this position is $230,000 - $280,000 annually. Actual compensation will be determined based on factors such as experience, skills, qualifications, and location.

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.

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