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Senior System Software Engineer Platform – OpenBMC

US, CA, Santa Clara; US, Remote
Full Time Remote

Summary

Job Description

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. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company, and form 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.

What you’ll be doing:

  • Design and implement OpenBMC Firmware for GPU Server platforms focus on but not limited to Arm architecture.

  • Hands on work with bringing up of BMC firmware, performance analysis and coding various manageability features for NVIDIA’s Server platforms

  • Developing and reviewing code, writing and reviewing design documents, reviewing QA test plan and working closely with all team members to achieve consensus for design and testability as per product requirements.

  • Designing solutions for errors, stats & configuration appropriate to CPU, GPU, DIMM, SSDs, NICs, IB, PSU, BMC, FPGA, CPLD etc. for enterprise readiness of NVIDIA Server platforms.

  • Designing and developing performance optimized active monitoring BMC solutions using DMTF Standards including MCTP, Redfish, SPDM and PLDM specifications

  • Instrumenting code to ensure maximum code coverage, writing and automating unit tests for each implemented module and maintain detailed unit test case reports

  • Providing software quality reports based on static analysis, code coverage, CPU load.

  • Working with security team to ensure developed code is in line with product security goals. Working closely with hardware teams to influence hardware design and review HW architecture & schematics.

What we need to see:

  • A Bachelor of Science Degree (or higher) in Electrical Engineering or Computer Science or equivalent experience.

  • 8+ years of experience.

  • Domain expertise in BMC Firmware development on X86 or ARM Platforms including BMC-BIOS communication, thermal management, power management, firmware update, device monitoring, firmware security, etc.

  • Board Bring-up expertise with hands-on experience in Device drivers like I2C/I3C, SPI, PCIe, SMBus, Mail-box etc. as well as the device trees for uboot and Linux kernel.

  • OOB or In-band System Management experience with exposure to standards IPMI, KCS, DMTF Standards (PLDM, MCTP, Redfish, etc), PMBus, NVMe, etc.

  • Understanding on REST architecture style especially JSON over HTTPs with OAuth

  • Strong programming and scripting skills using C/C++, Bash, Python, Go etc. both for Linux user-space programs and system programs with thorough code reviewing skills. Strong in Linux fundamentals, various Linux distributions and packages, Linux upgrade mechanisms, building and deploying Linux images.

  • You should possess excellent written and oral communication skills, good work ethics, high sense of team-work, love to produce quality work and commitment to finish your tasks every single day. You are a self-starter who loves to find creative solutions to challenging problems

Ways to stand out from the crowd:

  • Contributor to industry standards like Open Compute, OpenBMC, IPMI, DMTF Standards, and open source.

  • Expertise in system software and platform security for x86/ARM based Rack/Blade server systems.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until December 25, 2025.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

About Nvidia

Nvidia

NVIDIA is one of the most influential technology companies in the world, powering the modern era of artificial intelligence, high-performance computing, graphics, and autonomous systems. Originally known for its leadership in gaming GPUs, NVIDIA has evolved into the backbone of AI infrastructure, designing the chips, software, and systems that train and deploy large-scale AI models used across industries from healthcare and robotics to autonomous vehicles and scientific computing.

For job seekers, NVIDIA offers opportunities at the forefront of deep tech, spanning software engineering, AI research, systems engineering, hardware design, networking, robotics, and developer tools. A major focus of its work is the CUDA software platform and AI ecosystem, which enables developers to program GPUs at massive scale and has become foundational to modern machine learning and data center computing. This makes NVIDIA especially attractive to engineers, researchers, and technologists who want to work directly on the infrastructure powering today’s AI revolution.

Unlike traditional hardware companies, NVIDIA operates as a full-stack computing platform company, integrating silicon, systems, and software into a unified ecosystem. Employees may work on everything from GPU architecture and data center systems to AI frameworks, simulation platforms like Omniverse, and autonomous vehicle technology through the DRIVE platform. This breadth allows teams to operate at the intersection of research and production-scale deployment, with direct impact on global computing infrastructure.

As demand for AI, accelerated computing, and autonomous systems continues to grow rapidly, NVIDIA remains one of the most important employers in technology and advanced engineering. For professionals seeking a high-impact career at the center of AI development—where breakthroughs quickly translate into real-world systems at global scale—NVIDIA stands out as one of the most dynamic and sought-after destinations in the industry.

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