Intern - Compiler

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San Jose, CA, USA
In-Office
Hardware • Manufacturing
The most energy-efficient general purpose processors ever made.
The Role

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

The compiler team at Efficient is seeking a summer intern who will help to build the next generation of compiler backend for more efficient code generation. The ideal candidate is someone who wants hands-on experience building real compiler technology, enjoys tackling complex low-level programming challenges in a fast-paced startup environment, and has a passion for learning how software transforms into machine code. Think you've got what it takes? Then we want to hear from you!

Efficient is developing a cutting-edge compiler backend that transforms how compilers are built for reconfigurable architectures. Our novel approach automates backend code generation, removing the time-consuming manual effort typically needed to support new hardware configurations.

Daily Responsibilities

  • Develop and enhance the custom compiler backend with new features and optimizations 
  • Create thorough test suites to validate code generation across multiple target architectures
  • Contribute to the development of the assembler and disassembler tools
  • Support the software-hardware co-design process by maintaining consistency across the toolchain 

Required Qualifications 

  • Currently enrolled in a university program pursuing a Bachelor’s degree in Computer Science, or related field.
  • Experience with compiler design, computer architecture, and 
  • Familiarity with C++ and low-level programming.

Preferred Qualifications 

  • Have experience with MLIR and LLVM
  • Familiarity with hardware design flow and SystemVerilog.

More Information:

This position will be based in Efficient’s San Jose office.

The internship will run 10-12 weeks throughout the summer, with opportunities to extend throughout the semester, where needed.

 

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.

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The Company
HQ: Pittsburgh, PA
49 Employees
Year Founded: 2022

What We Do

Efficient is building the world’s most energy-efficient general-purpose processor by combining ultra-efficient hardware with an intuitive, developer-friendly compiler and software stack that unlocks 10–100× efficiency gains across every part of an application, including AI. Efficient was founded in 2022 to commercialize a breakthrough in efficient computation developed over nearly a decade by a team of world-leading computer architects. Efficient's world-class team has produced two silicon implementations of the Fabric architecture: the Electron E0, a prototype system-on-chip, and the Electron E1, the first silicon product. With Efficient's cutting-edge effcc Compiler and software stack, the Electron E1 processor has been delivered to customers as of mid-2025, ramping to large-scale volume and distribution in 2026. Efficient already has customer traction in areas such as physical AI for infrastructure and automation, space and defense, automotive, and consumer products. Efficient's technology scales from tiny “beyond the edge” devices to large-scale robotics, autonomy, edge cloud, and datacenter applications—enabling widespread adoption across multiple industries and positioning Efficient as the solution to the energy problem across all of computing.

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