Hardware/Silicon Internship

Efficient Computer•Austin, TX

12d•Onsite

About The Position

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. Efficient Computer is building a new energy-efficient processor architecture from the ground up. As a Silicon Engineering Intern, you'll join our hardware team and work on production silicon, not a sandbox project. Each intern owns a well-scoped project, has a dedicated mentor, and presents results to the engineering team at the end of the internship.

Requirements

Currently pursuing a BS, MS or PhD in Electrical Engineering or Computer Engineering with graduation expected by Summer 2028.
At least one term of school remaining after summer 2027.
Coursework or project experience in digital logic design, verification, VLSI/physical design, or EDA tooling.
Experience with at least one programming or scripting language, such as Python, C/C++, Tcl or Perl.

Nice To Haves

Coursework in computer architecture.
Verilog and System Verilog proficiency
Experience with synthesis, static timing analysis, or place-and-route tools
Experience with simulators and waveform debug
FPGA design experience
Interest in applying LLMs/agents to engineering workflows.

Responsibilities

Help define micro-architecture for blocks and features, and implement RTL in SystemVerilog.
Turn specs into verification plans, build testbench components, and write and debug tests.
Run synthesis, place-and-route and timing analysis, and evaluate power, performance and area trade-offs.
Build and improve design, verification and implementation flows, including automation and AI-assisted tooling.
Work with architecture, design and verification engineers to find and fix issues before tapeout.