Physical Design - CAD Lead
- Pay
- $180,000 – $260,000 per year
- Location
- San Francisco, Bay Area OR Pittsburgh, PA OR… · On-site
- Job type
- Full-time
- Level
- Lead / Staff
- Experience
- 5+ years
- Education
- Master's degree
- Listed
- 30 days ago
Skills & highlights for this role
- Physical Design flows
- Python scripting
- TCL
- static timing analysis
Also useful
- Kubernetes
- Airflow
- regression frameworks
- SQL
Stated benefits & perks
- 401k match
- Parental leave
Key Responsibilities
- Drive and develop PD flows, methodology for state of the art finfet and multi patterning based technologies from scratch in Cadence Tempus or Synopsys Primetime.
- Help develop repeatable, predictable, design and process agnostic PD flows.
- Develop state of the art flow infrastructure to enable consistent and rapid design under tight schedule constraints for multiple product lines in the energy efficient edge AI computing market.
- Work closely with PD team leads to propose and develop end to end build and signoff flows.
- Build regression frameworks for ensuring high quality flows and achieve hardware engineering vision of spending 90% or more time on actual design tasks and NOT wrestling with tools.
- Develop collateral quality checking utils to ensure high design efficiency.
- Develop and deploy a unified environment for specifying all collaterals (stdcell, memory, PDK, hardips…) and all flow dependencies (cycle time, PVTRC corners, per flow design and process dependent configuration).
- Work with 3rd party vendor resources and coordinate their work.
- Continuously work on improving flow consistency and efficiency in the context of multiple product lines.
Required Qualifications
- Master's degree in Electrical Engineering with 5+ years of industry experience or PhD in Electrical Engineering with 3+ years of industry experience
- Strong python other scripting programming skills.
- Experience in developing workflow orchestration infrastructure or tools for hardware development (Airflow, flowtracer etc)
- Familiarity with kubernetes and containerization
- Experience implementing regression frameworks
- SQL or other database proficiency (MongoDB..)
- Intimate knowledge of hardware design workflows for Physical Design and RTL/DV.
- Excellent scripting skills in TCL, shell and python.
Desired Qualifications & Experience Requirements
- Experience in full chip RTL/DV and PD flows.
- Knowledge of circuit design, device physics, deep sub-micron technology, and SOI technology and its implications to physical design
- Proficiency with industry-grade physical design flow and hands-on building CAD flow infrastructure for PD engineers.
- Definition of design constraints for static timing analysis (synthesis, pre/post-cts, sign-off) and corners/voltage definitions.
- Experience in integrating analog or mixed-signal macro on top-level design.
- Experience in verifying IP collaterals.
Pay and benefits
We offer a competitive base salary for this role, generally ranging from $180,000 to $260,000, plus a 10% annual bonus, meaningful equity, and comprehensive benefits. Final compensation will depend on experience, level, and location, with flexibility for the right candidate.
About Efficient Computer
Efficient Computer is rethinking computing from the ground up to solve one of AI's biggest challenges: energy. Our Fabric architecture delivers a 10-100x improvement in energy efficiency for general-purpose computation, including AI, while supporting familiar programming languages and software frameworks-unlocking new possibilities for autonomous machines, intelligent infrastructure, wearables, and space systems.
With our first processor, Electron E1, now shipping in volume and more than $97 million in Series B financing recently announced, we're accelerating customer deployments and scaling our architecture to data center performance. Join us to build the hardware and software that bring intelligence wherever it's needed and help shape the next generation of computing.
Efficient is seeking a CAD Lead - PD flows/infrastructure to join our growing team. The ideal CAD Lead would have worked on significant portion of the full gamut of Physical Design flows and flow infrastructure (flowtracer etc). This role is in a newly formed hardware engineering group and is the seed hire for this discipline. You will get to setup CAD flows and infra from scratch and influence and shape this aspect in the future.
This is a unique opportunity to get in at the early stages of a hardware engineering organization and have influence on our products as we move from initial stages of product development to market release and scaled volume production. Join our team and help us shape the future of computing at the edge and beyond!
Why Join Efficient?
Build what's next. At Efficient, you'll tackle big challenges with room to take ownership and make an impact. We back you with competitive pay, equity, a 401(k) match, company-paid benefits, paid parental leave, and flexibility-plus opportunities to grow your skills and career as we scale.
From Efficient Computer'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
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Common questions
What is the salary for the Physical Design - CAD Lead role at Efficient Computer?
The Physical Design - CAD Lead posting at Efficient Computer states compensation of $180,000 – $260,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Efficient Computer's official career site.
Where is the Physical Design - CAD Lead job at Efficient Computer located?
This Physical Design - CAD Lead position at Efficient Computer is located in San Francisco, Bay Area OR Pittsburgh, PA OR… (On-site). Always check Efficient Computer's application page for specific state eligibility or relocation policies.
What qualifications are required for Physical Design - CAD Lead at Efficient Computer?
For the Physical Design - CAD Lead role, Efficient Computer highlights 5+ years of relevant experience; a master's degree; experience with Physical Design flows, Python scripting, TCL, static timing analysis. 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 - CAD Lead position at Efficient Computer?
This listing links directly to Efficient Computer's Greenhouse application page. You can apply directly on Efficient Computer'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 Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.