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Open nowPosted 64 days ago

Computer Architect

Efficient Computer25 open roles

Pay
$160,000 – $230,000 a year
Where
San Francisco, Bay Area OR Pittsburgh, PA
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Your applicationOpen nowComputer ArchitectEfficient Computer · San Francisco, Bay Area OR Pittsburgh, PA

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. Efficient Computer postings stay open a median of 43 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 64 days ago

Efficient Computer median: 43 days open

The posting

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.

If you are a Computer Architect who wants to impact the transformation of the next evolution of computing, we would like to talk to you. Efficient is hiring an Computer Architect with experience in design-space exploration across the hardware-software interface. We seek individuals who are comfortable designing and executing experiments and interpreting and visualizing data.

This is a unique opportunity to get in at the ground level 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!

Key Responsibilities

  • Work with Compiler and Digital Design teams to define the hardware-software interface for Efficient’s Fabric architecture.
  • Work with Applications and Embedded teams to analyze the performance and efficiency of key applications on the Fabric and competing architectures.
  • Build simulation infrastructure to quickly and accurately model the performance of the Fabric.
  • Build visualization dashboard infrastructure to continuously monitor the performance and efficiency of the Fabric architecture.
  • Design & execute experiments to perform a design-space exploration of the Fabric architecture and optimize it for key applications.
  • Collect and analyze data from design-space explorations.
  • Write internal reports, white papers, and research publications on the Fabric architecture.

Required Qualifications

  • Master’s degree in Computer Science or Electrical Engineering and 3+ years of industry experience, or a doctoral degree in Computer Science or Electrical Engineering.
  • Extensive experience (3+ years) in designing and implementing architectural/microarchitectural simulators.
  • Excellent coding skills in C++, Bash, and Python.
  • Familiarity with data analysis and visualization tools like numpy, matplotlib, and Mathematica.
  • Excellent technical communication skills in presentation and writing.

Preferred Qualifications

  • Track record of research publications in computer architecture.

We offer a competitive base salary for this role, generally ranging from $160,000 to $230,000, 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.

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.

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