Senior Compiler Engineer

Efficient Computer•San Jose, CA

1d•$160,000 - $210,000

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. 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!

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.

Nice To Haves

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

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.