About this Optimization Engineer role at Efficient Computer
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
About the Role
We are seeking Software Optimization Engineers to join our growing team. Efficient’s Optimization Engineers optimize and benchmark applications, libraries, and kernels for the world’s most energy-efficient programmable processor (the “Fabric”). In this role, you will take ownership of complex, performance-critical, kernel code while working closely with Efficient’s compiler and embedded teams contributing feedback on compiler performance and kernel benchmarks on 3rd-party devices. In other words, you will push the performance limit of compute on our platform.
This position is a unique opportunity to work on cutting-edge hardware/software co-design, while making an immediate impact in building the next generation of optimized libraries and applications used by our customers.
Required Qualifications & Experience
- Hands-on software development experience working closely with hardware, including exposure to at least one RISC, DSP or GPU platform.
- A passion for analyzing and maximizing software performance on an unique dataflow architecture.
- A collaborative spirit, with the ability to work with and influence multiple engineering teams.
- Demonstrated ability to write, debug, and maintain low-level systems-level code written in C/C++.
- Actively uses AI tools to generate, optimize, and debug code.
- Excellent written, verbal, analytical and technical communication skills with the ability to clearly document complex systems.
- Minimum Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
Desired Qualifications & Experience
- Some experience with CUDA, HIP and/or other parallel programming models.
- Some exposure to low-level programming interfaces, e.g. PTX, LLVM IR and/or MLIR.
- Some domain expertise in one or more of the following areas: Linear Algebra, ML, Image Processing, Video Processing, Signal Processing, Audio Processing, SDR, realtime programming, or Robotics.
- Some background in performance profiling, benchmark design, or comparative hardware analysis.
We offer a competitive salary for this role, generally ranging from $130,000 to $200,000, along with meaningful equity and comprehensive benefits. The final compensation package will be based on your experience and location, with some flexibility to ensure we align with the right candidate.
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.