Efficient Computer is rethinking computing from the ground up to solve one of AI's biggest challenges: energy. Our Fabric architecture delivers a 10–100x improvement in energy efficiency for general-purpose computation, including AI, while supporting familiar programming languages and software frameworks—unlocking new possibilities for autonomous machines, intelligent infrastructure, wearables, and space systems. With our first processor, Electron E1, now shipping in volume and more than $97 million in Series B financing recently announced, we're accelerating customer deployments and scaling our architecture to data center performance. Join us to build the hardware and software that bring intelligence wherever it's needed and help shape the next generation of computing.
Efficient’s Embedded Engineers design and implement firmware, applications and hardware that feature the world’s most energy-efficient programmable processors. The role’s primary responsibility is developing firmware and applications for our processors. The role’s responsibilities also include enhancing and maintaining our bare-metal SDK, porting RTOSes to run on our processors, developing hardware (development kits and bring-up boards) and participating in pre-silicon and post-silicon engineering activities (validation and verification).
This position is a unique opportunity to develop cutting-edge hardware and software 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 embedded applications, this is for you!
- Develop and deploy firmware and applications for our processors, in software simulation, RTL emulation, and on silicon
- Enhance and maintain our low level SDK and set of standard libraries
- Perform silicon validation and verification activities
- Develop bring-up test hardware and customer EVKs
- Perform board bring-up
- Perform first-silicon bring-up and checkout activities
- Engage with Digital Design and Compiler teams to debug silicon issues
- Support customers with their board development efforts, reviewing designs and providing recommended solutions
- 8+ years of experience developing firmware and applications for embedded systems
- 8+ years of experience with C and/or C++
- Experience porting RTOSes to new processor architectures
- Experience debugging new silicon and hardware prototypes in the lab
- Deep knowledge of at least one embedded platform, such as MSP430, STM32, Ambiq Apollo, PIC32, or similar
- Experience using industry standard development and debugging tools for embedded systems
- Strong attention to detail, and an ability to work on multiple projects simultaneously
- Good problem solving skills, communication skills, and work ethic
- Comfortable working at a start-up engineering pace
- Experience with PCB board design
- Solid grasp of computer architectures
We offer a competitive base salary for this role, generally ranging from $160,000 to $220,000, plus a 10% annual bonus, meaningful equity, and comprehensive benefits. Final compensation will depend on experience, level, and location, with flexibility for the right candidate.
Why Join Efficient?
Build what's next. At Efficient, you'll tackle big challenges with room to take ownership and make an impact. We back you with competitive pay, equity, a 401(k) match, company-paid benefits, paid parental leave, and flexibility—plus opportunities to grow your skills and career as we scale.
Efficient Computer San Francisco, California, USA Office
San Francisco Bay Area, San Francisco, California, United States
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
