San Francisco, Bay Area OR Pittsburgh, PA
1 month ago

Job Overview

Pay
$160,000 to $230,000

Job description

Location:
San Francisco, Bay Area OR Pittsburgh, PA
Work arrangement:
On-site

Role Summary

Efficient is developing the world’s most energy-efficient general-purpose computer processor. Efficient’s patented technology uses 100x less energy than state of the art commercially available ultra-low-power processors and is programmable using standard high-level programming languages and AI/ML frameworks. This level of efficiency makes perpetual, pervasive intelligence possible: run AI/ML continuously on a AA battery for 5-10 years. Our platform’s unprecedented level of efficiency enables IoT devices to intelligently capture and curate first-party data to drive the next major computing revolution

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!

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.

Requirements

  • 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.

Benefits

  • Why Join Efficient?
  • Efficient offers a competitive compensation and benefits package , including 401K match, company-paid benefits, equity program, paid parental leave, and flexibility . We are committed to personal and professional development and strive to grow together as people and as a company.
Role:
Computer Architect

Company profile

Efficient Computer

efficient.computer

Efficient Computer builds energy-efficient general-purpose AI chips for edge devices and embedded systems, delivering up to 100x better efficiency than low-power CPUs. Its chips enable on-device AI inference, IoT devices and industrial automation that can run for years on a single charge, supporting physical AI without the cloud. The company was founded by Carnegie Mellon University (CMU) researchers.

Headquarters
Pittsburgh, Pennsylvania, United States
Founded
2022
Founders
Brandon Lucia, Nathan Beckmann, Graham Gobieski, Alex Hawkinson
Funding Stage
Series B
Total Raised
$173M
Key Investors
TQ Ventures, Eclipse, Union Square Ventures, Giant Ventures, Toyota Ventures

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