Systems Software Engineer, NPU Management Interface
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.
Key Responsibilities
Design and develop the NPU Management Interface (MI) firmware/software enabling communication between Host/BMC and NPU devices
Implement and maintain MCTP, PLDM, and custom MI command handling for out-of-band NPU management, monitoring, and control
Develop device-management features over SMBus/I²C, I3C, PCIe VDM, or custom sideband channels
Integrate MI functionality into the NPU firmware, including:
Health and error reporting
Thermal and power telemetry
Runtime status, utilization metrics, and debug information
Ensure compliance with industry specifications by performing spec-driven design, implementation, and validation
Support bring-up, interoperability testing, rack-scale platform integration, and system-level validation
Develop test strategies and validation tools based on MCTP and PLDM specifications
Perform protocol compliance testing, regression testing, and interoperability verification
Minimum Qualifications
Strong proficiency in embedded C or C++
Experience with firmware development for NPU/accelerator, GPU, or SoC
Understanding of management protocols including MCTP (over I²C/SMBus, I3C or PCIe VDM) and PLDM
Experience with low-level interfaces: SMBus/I²C, I3C, SPI, PCIe
Ability to interpret complex protocol specifications and convert them into robust implementations
Familiarity with device telemetry, sensor frameworks, watchdog/reset flows, and health monitoring
Experience with system-level debugging using logic/protocol analyzers and low-level debug tools
Knowledge of embedded systems, bare-metal or RTOS environments, and firmware lifecycle flows
Preferred Qualifications
Experience of BMC firmware stacks such as OpenBMC, Redfish, IPMI, and PLDM device-model implementations
Background in spec creation, requirement definition, or standards compliance validation
Experience defining FRU data, power/thermal management policies, and diagnostics frameworks
Familiarity with secure provisioning, firmware update mechanisms, and lifecycle state management
Experience with large-scale datacenter or HPC system integration (rack-level management, telemetry aggregation)
Contributions to firmware for accelerator, MCTP/PLDM implementations, or open-source system firmware projects
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.