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. Join us at the forefront of technological advancement. Are you ready to change to the next generation of computing? Join us at the forefront of technological advancement.
What you’ll be doing:
Design and implement OpenBMC Core Infrastructure and Features for GPU Server platforms.
Hands-on work with bringing up BMC firmware, performance analysis, and coding various manageability features for NVIDIA’s Server platforms.
Design, Develop and contribute to reviews closely working with Opensource community. Influence community to enable NVIDIA features and platform 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 maintaining 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, and with hardware, teams to influence hardware design and review HW architecture & schematics.
What we need to see:
Bachelor of Science Degree (or higher) or equivalent experience in Electrical Engineering or Computer Science.
3+ years of relevant 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 U-Boot and Linux kernel.
OOB or In-band System Management experience with exposure to standards IPMI, KCS, DMTF Standards (PLDM, MCTP, Redfish, PMBus, NVMe, etc.)
Understanding of 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, a high sense of teamwork, a love to produce quality work, and a commitment to finish your tasks every single day. You are a self-starter who loves to find creative solutions to complicated 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! We are an AA/EEO/Veterans/Disabled employer.
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.”
