Systems Software Engineer, Power, Performance, and Thermal (PPT)
Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Aug 19, 2026. FuriosaAI scores A on the Alion truth index.
About FuriosaAI
FuriosaAI builds high-performance, high-efficiency AI compute for the Inference Era. Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with offices in Korea and Silicon Valley, along with a compiler-focused R&D lab in Lisbon.
Our vision is to make AI computing sustainable, enabling access to powerful AI for everyone on Earth. We solve the AI hardware energy and operational cost crisis at the architectural level, rather than through brute force, building the world's first truly AI-native compute platform to unlock the full potential of artificial intelligence for every enterprise.
About the Role
Join our Power, Performance, and Thermal (PPT) Engineering team to optimize the next generation of AI accelerators. In this role, you will drive hardware and system-level innovations that maximize performance while minimizing power consumption and thermal impact. You will work closely with architecture, design, and software teams to develop high-performance, power-efficient NPU solutions from concept to production.
Who We’re Looking For
We welcome engineers at all experience levels-from early-career professionals to experienced technical leaders-who are passionate about building and optimizing world-class NPU architectures and solving complex power, performance, and thermal challenges.
Key Responsibilities
You will develop core system software to control power, performance, and thermals in an Linux environment for NPU SoCs.
DVFS & Power Management: Design and develop dynamic voltage and frequency scaling policies and drivers utilizing cpufreq, devfreq, and SCMI under Embedded Linux.
Core Subsystem Driver Development: Build and optimize drivers for CCF (Common Clock Framework), Regulators, and Thermal Management.
Power/Performance Profiling: Analyze power consumption and thermal trends during NPU execution to construct and validate optimal OPP (Operating Performance Point) tables.
Minimum Qualifications
Strong proficiency in C/C++ and AArch64 assembly.
Hands-on experience in Linux Kernel and Device Driver development.
Deep understanding of SoC architecture, including clock trees and power management mechanisms.
Preferred Qualifications
Experience in Chip/Board Bring-up and firmware development for mobile SoCs, NPUs, or GPUs.
Experience with JTAG in any aspect of debugging.
Experience with, or a strong interest in, Rust for system programming.
A proactive problem-solver who enjoys optimizing at the intersection of hardware and software.
Work Location & Flexibility
Location: Choose between our Seoul (Sinsa) office or Gyeonggi-do (Dongtan, Hwaseong) office.
Hybrid Work: Highly flexible remote/work-from-home policy to ensure you can focus and deliver your best work in an autonomous environment.
Why Join FuriosaAI
The defining bottleneck of the AI era is building the right hardware and software stack to run it at global scale. Furiosa is solving this challenge holistically from the ground up.
With our flagship chip, RNGD, in mass production today and our next-generation platform in development with Broadcom, we are proving that full-stack, tensor-native compute is the future of AI infrastructure. This is a pivotal moment to join our team, right as we accelerate our global expansion.
At Furiosa, you will:
Solve AI’s Most Urgent Challenge. Help build the high-performance, energy-efficient inference hardware and software required to fulfill the promise of advanced AI.
Pioneer Full-Stack Co-Design. Work with teams that are architecting solutions from silicon up through the compiler (featuring innovations like Tensor Contraction Language and Virtual ISA) and serving frameworks.
Ship Real-World Silicon, Software, and Solutions. Turn breakthrough technology into commercial deployment. RNGD is in mass production with TSMC and running live enterprise workloads for global leaders like LG AI Research and Samsung SDS.
Partner With the Industry's Best. Collaborate across an elite global ecosystem that includes TSMC, Broadcom, SK Hynix, and GUC.
Do Your Life’s Best Work. Join a brilliant, low-ego, mission-driven team in a high-trust environment that values autonomy, intellectual curiosity, and shared ambition.