companyEfficient Computer logo

Lead CAD Engineer - Physical Design

Efficient ComputerSan Jose, CA OR Pittsburgh, PA OR Austin, TX
On-site Full-time $180K/yr - $220K/yr

Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.


Unlock Your Potential

Generate Job-Optimized Resume

One Click And Our AI Optimizes Your Resume to Match The Job Description.

Is Your Resume Optimized For This Role?

Find Out If You're Highlighting The Right Skills And Fix What's Missing

Experience Level

Manager

Qualifications

The ideal candidate will possess:Extensive experience in physical design flows and infrastructure. Strong knowledge of FinFET and multi-patterning technologies. Proficiency in using Cadence Tempus or Synopsys Primetime for physical design. Excellent problem-solving skills and the ability to work under tight deadlines. Strong collaboration and communication skills, especially in cross-functional teams.

About the job

At Efficient, we are revolutionizing the computing landscape with our cutting-edge, energy-efficient general-purpose processor. Our groundbreaking technology consumes 100 times less energy than the leading ultra-low-power processors available today, while remaining compatible with standard high-level programming languages and AI/ML frameworks. This exceptional efficiency allows for continuous AI/ML operation on a single AA battery for 5 to 10 years, making it easier than ever to harness the power of IoT devices for capturing and curating first-party data that will drive the next computing revolution.

We are on the lookout for a CAD Lead - Physical Design Flows and Infrastructure to join our innovative hardware engineering team. This unique opportunity allows you to establish CAD flows and infrastructure from the ground up, shaping the future of our physical design methodologies.

As a pivotal member of our newly formed hardware engineering group, you will play a critical role in transitioning our products from initial development stages to market launch and high-volume production. Join us in redefining the future of edge computing!

Key Responsibilities

  • Develop and drive physical design flows and methodologies for advanced FinFET and multi-patterning technologies using Cadence Tempus or Synopsys Primetime.
  • Create repeatable, predictable design processes that are agnostic to specific designs and methodologies.
  • Build infrastructure that enables consistent, rapid design under tight timelines for a diverse range of product lines in the energy-efficient edge AI computing sector.
  • Collaborate closely with physical design team leads to establish comprehensive build and signoff flows.
  • Develop regression frameworks to ensure high-quality flows, allowing engineers to devote over 90% of their time to design tasks rather than tool management.
  • Create quality-checking utilities to enhance design efficiency.
  • Implement a unified environment for managing all collateral specifications (standard cells, memory, PDK, hard IPs) and flow dependencies (cycle time, PVTRC corners, design configurations).
  • Coordinate with third-party vendor resources to optimize workflow.
  • Pursue continuous improvements in flow consistency and efficiency across multiple product lines.

About Efficient Computer

Efficient is at the forefront of developing an extraordinarily energy-efficient general-purpose computing processor. Our patented technology not only significantly reduces energy consumption but also facilitates the integration of AI and ML, paving the way for innovative solutions in the IoT landscape.

Similar jobs

Tailoring 0 resumes

We'll move completed jobs to Ready to Apply automatically.