Senior System Software Engineer Platform - Server Embedded Firmware

at Nvidia
USD 224,000-431,200 per year
SENIOR
✅ On-site

Used Tools & Technologies

Not specified

Required Skills & Competences

Security @ 6 Go @ 7 Linux @ 4 Python @ 7 Bash @ 7 Communication @ 4 Debugging @ 4 Reporting @ 4 GPU @ 4 Deep Learning @ 7 AI @ 7 Performance Analysis @ 4

Details

NVIDIA’s invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. NVIDIA is looking to grow teams with the smartest people in the world.

Are you ready to change the next generation of computing? Join us at the forefront of technological advancement.

Responsibilities

  • Design and implement microcontroller firmware for GPU server platforms, focusing on (but not limited to) ARM M-class microcontrollers.
  • Develop C/C++ server manageability features in an RTOS embedded-optimized environment.
  • Perform hands-on microcontroller firmware bring-up, debugging, performance analysis, and coding of manageability features for NVIDIA’s server platforms.
  • Develop embedded management software to enable reporting and connectivity between server management devices.
  • Implement register-based communication and DMTF-standard messaging protocols to enable interaction between BMC, GPUs, switches, memory, I/O expanders, sensors, and local microcontroller peripherals.
  • Design a highly portable microcontroller framework for implementation across a variety of server management subsystems.
  • Develop and review code, write and review design documents, and collaborate with team members to meet product requirements.
  • Instrument code for maximum coverage, automate unit tests, maintain detailed test case reports, and provide software quality reports based on static analysis, code coverage, and microcontroller load.
  • Collaborate with security and hardware teams to ensure code aligns with security goals and influence hardware design and architecture review.
  • Develop performance-optimized active monitoring BMC solutions using DMTF Standards such as MCTP, Redfish, SPDM, and PLDM specifications.

Requirements

  • Bachelor of Science (or higher) in Electrical Engineering, Computer Science, or equivalent experience.
  • 12+ years of experience in low-level microcontroller firmware development on embedded microcontrollers using Zephyr or FreeRTOS.
  • Demonstrated experience developing BMC and/or microcontroller firmware for managing CPU, GPU, network, and storage devices.
  • Experience with embedded interfaces such as USB and I3C.
  • Experience using ARM integrated development environments (IDEs), debuggers, logic and protocol analyzers, and oscilloscopes.
  • Deep understanding of interrupt schemes, multi-threading, DMA, memory management, and working in resource-restricted embedded environments.
  • Strong embedded programming and scripting skills using C/C++, Bash, Python, Go, etc.
  • Experience reviewing and using hardware schematics, reference manuals, and datasheets for embedded development.
  • Expertise working with server manageability protocols such as MCTP, PLDM, SPDM, SMBUS, and OCP recovery.
  • Solid understanding of Linux fundamentals, various distributions, packages, upgrade mechanisms, and image building/deployment.

Preferred / Ways to Stand Out

  • Hands-on background with microcontroller embedded firmware development and out-of-band (OOB) management.
  • Hands-on experience implementing MCTP stack in embedded environments or FPGA; contributions to industry groups like Open Compute, OpenBMC, DMTF and open source.
  • Expertise in system software and platform security for x86/ARM based rack/blade server systems.

Compensation & Benefits

  • Base salary range: 224,000 USD - 356,500 USD for Level 5; 272,000 USD - 431,250 USD for Level 6.
  • Eligible for equity and benefits (link to NVIDIA benefits referenced in posting).

Applications for this job will be accepted at least until March 22, 2026. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer committed to fostering a diverse work environment.