Join NVIDIA as a OpenBMC Application Engineer. NVIDIA leads the way in high-growth fields such as High-Performance Computing (HPC), Artificial Intelligence (AI), cloud data centers, and gaming. OpenBMC is a critical open-source platform for server management, enabling NVIDIA and our partners to build next-generation GPU server platforms with performance, security, and reliability. You will supply to launching new server products, developing core firmware, and enhancing OpenBMC in the open-source community. Collaborate with various teams, customers, and partners to promote OpenBMC. This role involves solving technical challenges, influencing industry standards, and finding fulfillment in empowering NVIDIA’s data center platforms.
What you’ll be doing:
Develop OpenBMC firmware and core features to support next-generation GPU server platforms.
Participate in and upstream OpenBMC code, helping with the open-source community to steer feature demands and guide project direction.
Build and implement manageability and monitoring solutions for enterprise components such as CPU, GPU, DIMM, SSD, NIC, PSU, FPGA, and CPLD.
Leverage industry standards (MCTP, Redfish, SPDM, PLDM, PMBus, NVMe, etc.) to build high-performance and secure BMC solutions.
Collaborate with hardware and security teams to align with product security goals and influence compose decisions.
Work closely with customers and partners to enable, debug, and optimize OpenBMC solutions while building the ecosystem.
Provide technical mentorship, training, and documentation to help customers and ecosystem partners adopt OpenBMC more effectively.
Overseas or domestic travel for customer engagement and product support as required.
What we need to see:
Bachelor’s degree or higher in Electrical Engineering, Computer Science, or equivalent experience.
2+ years of relevant experience, with a proven background in large-scale projects and multi-functional collaboration.
Strong expertise in BMC firmware development, including BMC-BIOS communication, thermal/power management, firmware update, device monitoring, and firmware security.
Deep knowledge of Linux, including command-line usage, driver model, and Linux kernel internals.
Board bring-up experience with device drivers (I2C/I3C, SPI, PCIe, SMBus, Mailbox, etc.) and device trees for U-Boot and Linux kernel.
Proficiency in C/C++ with scripting skills in Python or Bash.
Strong communication and collaboration skills, with flexibility in task assignments and the ability to translate requirements and challenges into actionable solutions.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked 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, NVIDIA is increasingly known as “the AI computing company.”
