Physical Design Engineer
- Pay
- $180,000 – $280,000 per year
- Location
- Sunnyvale, CA · On-site
- Job type
- Full-time
- Level
- Senior
- Experience
- 7+ years
- Education
- Bachelor's degree
- Listed
- 30 days ago
Skills & highlights for this role
- physical design
- static timing analysis
- Calibre DRC/LVS
- IR/EM analysis
- Design Compiler
Also useful
- Fusion Compiler
- ICC2
- Tcl
- Python
About the role
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 will drive high-impact PPA strategy-actively shaping power, performance, and area tradeoffs in direct collaboration with the RTL team. You will excel in and own all disciplines of physical design and implementation from RTL to tapeout, ensuring your blocks integrate seamlessly into our full-chip architecture.
Skills & Qualifications
Required
- 7+ 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.
- Expert with ICV or Calibre tools resolving block and full-chip DRC and LVS issues.
- Expert with IR/EM analysis and resolution.
- Strong background in STA, constraint drafting and timing convergence at block, partition and fullchip.
- Should demonstrate and raise the bar for “ownership”, “deep dive” and should demonstrate strong fundamental understanding of PD concepts.
- 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.
- Skills in Design Compiler, Fusion Compiler, ICC2 or similar physical design tools.
- BS or MS in Electrical Engineering.
Preferred
- Knowledge of high speed CPU/GPU design a plus.
- Experience with high-speed IO design and 3rd party IP integration.
- Block/partition PD, PDV, IR would be good to have.
- Knowledge of Synopsys tool suite is a plus.
Pay and benefits
The salary range for this position is $180,000 - $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.
Apply today and become part of the forefront of groundbreaking advancements in AI!
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.
Equal opportunity and legal notices
Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer.
From Cerebras Systems's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
Rolev.ai is a job search and application tool for US job seekers. For this Physical Design Engineer role at Cerebras Systems, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.
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Common questions
What is the salary for the Physical Design Engineer role at Cerebras Systems?
The Physical Design Engineer posting at Cerebras Systems states compensation of $180,000 – $280,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Cerebras Systems's official career site.
Where is the Physical Design Engineer job at Cerebras Systems located?
This Physical Design Engineer position at Cerebras Systems is located in Sunnyvale, CA (On-site). Always check Cerebras Systems's application page for specific state eligibility or relocation policies.
What qualifications are required for Physical Design Engineer at Cerebras Systems?
For the Physical Design Engineer role, Cerebras Systems highlights 7+ years of relevant experience; a bachelor's degree; experience with physical design, static timing analysis, Calibre DRC/LVS, IR/EM analysis, Design Compiler. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Physical Design Engineer position at Cerebras Systems?
This listing links directly to Cerebras Systems's Ashby application page. You can apply directly on Cerebras Systems's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.