Cerebras Systems
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AI Silicon Physical Design Engineer

Headquarters/sunnyvale Officefull-timemid
OtherPhysical Design Engineer
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Quick Summary

Overview

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs.

Technical Tools
OtherPhysical Design Engineer

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

~1 min read

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. 

Requirements

~1 min read
  • 10+ years of physical design & physical verification experience. 

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

  • Strong experience in block/subsystem timing closure.

  • 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.

  • Good understanding of full chip floor planning and integration.   

  • 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. 

  • Knowledge of CPU/GPU design a plus. 

  • Skills in Design Compiler, Fusion Compiler, ICC2 or similar physical design tools. 

  • BS or MS in Electrical Engineering. 

The salary range for this position is $150,000 – $250,000 annually. Actual compensation will be determined based on factors such as experience, skills, qualifications, and location.

What We Offer

~1 min read

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.

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.

Location & Eligibility

Where is the job
Headquarters/sunnyvale Office
On-site at the office
Who can apply
Same as job location

Listing Details

Posted
April 21, 2025
First seen
June 28, 2026
Last seen
July 4, 2026

Posting Health

Days active
0
Repost count
1
Trust Level
19%
Scored at
June 28, 2026

Signal breakdown

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Cerebras Systems

Cerebras Systems is revolutionizing AI acceleration with its innovative hardware solutions designed to enhance deep learning capabilities.

Employees
350
Founded
2016
View company profile
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Cerebras SystemsAI Silicon Physical Design Engineer