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.
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!
Key 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.
- 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.
- Familiarity with FPGA-compilation and/or PnR algorithms.
- Experience with verilog, system verilog, or VHDL.
- Knowledge of computer architecture.
We offer a competitive base salary for this role, generally ranging from $160,000 to $230,000, 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.
Skills Required
- 6+ years of experience with C++.
- Bachelor's or Master's degree in Computer Science or a 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.
- Familiarity with FPGA-compilation and/or PnR algorithms.
- Experience with Verilog, SystemVerilog, or VHDL.
- Knowledge of computer architecture (additional).
What We Do
Efficient is building the world’s most energy-efficient general-purpose processor by combining ultra-efficient hardware with an intuitive, developer-friendly compiler and software stack that unlocks 10–100× efficiency gains across every part of an application, including AI. Efficient was founded in 2022 to commercialize a breakthrough in efficient computation developed over nearly a decade by a team of world-leading computer architects. Efficient's world-class team has produced two silicon implementations of the Fabric architecture: the Electron E0, a prototype system-on-chip, and the Electron E1, the first silicon product. With Efficient's cutting-edge effcc Compiler and software stack, the Electron E1 processor has been delivered to customers as of mid-2025, ramping to large-scale volume and distribution in 2026. Efficient already has customer traction in areas such as physical AI for infrastructure and automation, space and defense, automotive, and consumer products. Efficient's technology scales from tiny “beyond the edge” devices to large-scale robotics, autonomy, edge cloud, and datacenter applications—enabling widespread adoption across multiple industries and positioning Efficient as the solution to the energy problem across all of computing.
