Skip to main content

Efficient Computer

Senior Compiler Engineer

San Francisco, Pennsylvania, United States

Location
San Francisco, Pennsylvania, United States
Work
Not stated
Employment
Not stated
Level
Senior
Function
Engineering
Pay
$160K – $230K a year (read from the ad)
Posted
3 months ago

Pay and the market here

The top of this role’s range, $230K a year, is 13% above the median of $204K for senior engineering jobs in Pennsylvania (middle half $167K – $230K, 81 jobs that state pay).

6 engineering jobs open in San Francisco: 0% remote, 1 posted in the last 30 days.

Wondering how well you fit this one? OptiTalent Career checks each requirement against your own record, privately. About OptiTalent Career →

About the role

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.

We are seeking a Senior Compiler Engineer to join our growing team. The Compiler Engineer will contribute to the design and implementation of an embedded machine learning (ML) system stack and TinyML applications to run on the world’s most energy-efficient programmable processor. This position is a unique opportunity to develop applications for cutting-edge hardware as part of a highly interdisciplinary team, helping to demonstrate the value of Efficient’s breakthrough technology. If you are an engineer who wants to be part of an intensely skilled team and wants to have an immediate impact building the next generation of energy-efficient ML applications, we want to talk with you!

Key responsibilities

  • Develop new compiler features to improve overall hardware efficiency while maintaining programmability. These may relate to: - Efficient’s new dataflow ISA - Memory analysis and ordering Hardware constraints such as timing and power consumption - Place-and-route of applications onto Efficient’s fabric - Visualization - Programmer debugging tools
  • Write unit and integration tests to uncover functional- and performance-related compiler bugs.
  • Work with various machine-learning frameworks to compile models to our custom hardware.
  • Debug and fix functional and performance issues of the compiler system.
  • Collaborate with the hardware and physical design team to understand and improve hardware architecture and propose future improvements.
  • Work closely with the application development team to understand the problem domain and deliver optimized compiler solutions.

Required qualifications & experience requirements

  • 6+ years of experience with C++.
  • Bachelor's/Master's degree in CS or related field.
  • Familiarity with compiler frameworks such as GCC, LLVM, and/or MLIR.
  • Understanding of computer architecture and optimization.
  • Experience using industry standard development and debugging tools including GDB.
  • Strong attention to detail, good work ethic, ability to work on multiple projects simultaneously, and good communication skills.
  • Good problem solving skills.

Additional qualifications considered

  • Familiarity with FPGA-compilation and/or PnR algorithms.
  • Experience with verilog, system verilog, or VHDL.
  • Knowledge of 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.

Source

Posted by Efficient Computer on their own hiring page, job-boards.greenhouse.io. OptiTalent shows it as published, read 07 Nov 2026 11:31 UTC; the original is the reference.

View the original ad ↗

More at Efficient Computer

  • Efficient Computer · San Francisco, Pennsylvania, United States

    Senior$160K – $220K a yearEngineering

    Design, develop, and maintain the GitHub-based build environment, including GitHub Actions workflows, runners, and repository automation.; Manage build compute across providers such as Namespace, Google Cloud, and AWS, balancing speed, reliability, and cost.; Improve build…

  • Efficient Computer · San Fransisco, Texas, United States

    From $120.00 an hourMarketing

    Write and produce technical content; Work with the product, applications, and engineering teams to understand who we need to reach, what questions they have, and where better content would help; Turn customer work, benchmarks, and reference designs from the applications team…

  • Efficient Computer · San Francisco, Texas, United States

    Mid level$130K – $180K a yearEngineering

    Develop and maintain UVM/SystemVerilog testbenches, sequences, and tests for block- and subsystem-level verification.; Write verification plans from design specifications in collaboration with design and architecture teams.; Write SystemVerilog assertions and functional…

  • Efficient Computer · San Fransisco, Texas, United States

    Senior$110K – $160K a yearOperations

    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…