NPU MI (Management Interface) Software Engineer

Reposted 3 Days Ago
Be an Early Applicant
Seoul, KOR
In-Office
Mid level
Artificial Intelligence • Information Technology • Software • Database • Manufacturing
The Role
Design and develop Firmware for NPU Management Interface, implementing protocols, ensuring compliance, and supporting system-level validation.
Summary Generated by Built In
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

Requirements
  • 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

Contact

Skills Required

  • Strong proficiency in embedded C or C++
  • Experience with firmware development for NPU/accelerator, GPU, or SoC
  • Understanding of management protocols including MCTP and PLDM
  • Experience with low-level interfaces: SMBus/I²C, I3C, SPI, PCIe
  • Ability to interpret complex protocol specifications
  • Familiarity with device telemetry and health monitoring
  • Experience with system-level debugging
  • Knowledge of embedded systems and firmware lifecycle flows
  • Experience with BMC firmware stacks such as OpenBMC, Redfish, IPMI
  • Background in spec creation or standards compliance validation
  • Experience defining FRU data and power/thermal management policies
  • Familiarity with secure provisioning and firmware update mechanisms
  • Experience with large-scale datacenter or HPC system integration
  • Contributions to firmware for accelerator, MCTP/PLDM implementations
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The Company
HQ: Seoul, Seoul
143 Employees
Year Founded: 2017

What We Do

FuriosaAI designs and develops data center accelerators for the most advanced AI models and applications. Our mission is to make AI computing sustainable so everyone on Earth has access to powerful AI. Our Background Three misfit engineers with each from HW, SW and algorithm fields who had previously worked for AMD, Qualcomm and Samsung got together and founded FuriosaAI in 2017 to build the world’s best AI chips. The company has raised more than $100 million, with investments from DSC Investment, Korea Development Bank, and Naver, the largest internet provider in Korea. We have partnered on our first two products with a wide range of industry leaders including TSMC, ASUS, SK Hynix, GUC, and Samsung. FuriosaAI now has over 140 employees across Seoul, Silicon Valley, and Europe. Our Approach We are building full stack solutions to offer the most optimal combination of programmability, efficiency, and ease of use. We achieve this through a “first principles” approach to engineering: We start with the core problem, which is how to accelerate.

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