Efficient Computer builds the world's most energy-efficient general-purpose AI chips, delivering up to 100× better efficiency than low-power CPUs. Backed by USV.
About the role
This role requires a unique set of skills that span both embedded software development as well as typical cloud compute platforms. The ideal candidate must be a full-stack infrastructure engineer who is equally comfortable writing Go services, managing Kubernetes environments, debugging low-level test programs, and working with a wide variety of embedded hardware such as FPGA, Ambiq, Apollo, PIC32 and Efficient E1.
What they're looking for
- Hands-on embedded hardware and software development experience, including working with embedded toolchains and bring-up of new hardware platforms
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field — or equivalent practical experience
- Lead level experience with 5+ years in a cloud and embedded hw infrastructure, test engineering, and full-stack systems role
- Excellent written, verbal, and technical communication skills, with the ability to clearly document complex systems, and lead discussions across teams
- A collaborative spirit, with the ability to support and influence multiple engineering teams, balancing competing priorities
- Go: Strong proficiency, including experience building production services with HTTP APIs and WebSockets
More about this 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
We are seeking a strong hardware infrastructure engineer to develop and scale ATLAS: Efficient’s critical hardware regression testing and performance profiling infrastructure. ATLAS supports automated benchmarking and validation of both our company's products and competitor hardware, providing essential data that drives engineering and product decisions.
This role requires a unique set of skills that span both embedded software development as well as typical cloud compute platforms. The ideal candidate must be a full-stack infrastructure engineer who is equally comfortable writing Go...
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