Senior Systems Software Engineer, Data Center Platform Enablement

NVIDIA

United States

On-site

USD 184,000 - 357,000

Full time

2 days ago
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Job summary

NVIDIA is seeking an experienced Senior System Engineer to lead bring-up, integration, validation, and debugging of compute tray platforms in NVIDIA GPU Racks for data centers.

You will work with global teams on system designs, influence hardware layout, and use emulation tools to accelerate development while ensuring robust server platforms before mass deployment.

Qualifications

  • Bachelor's degree in EE or CS required.
  • 8+ years of relevant experience in server hardware.
  • Strong knowledge of firmware architecture and system boot.

Responsibilities

  • Collaborate with global architects and developers on NVIDIA AI server system designs.
  • Influence hardware system design by reviewing schematics and board layouts.
  • Use simulation and emulation to accelerate early design and innovations.
  • Hands-on debug and bring-up of early server prototypes in data center labs.

Skills

C/C++ development
bash/python scripting
embedded Linux
HW integration & debugging
RTL design
PCIe/BIOS interfaces

Education

Bachelor's Degree in Electrical Engineering or Computer Science

Tools

CPLD/FPGA design
QEMU/simulation
SBIOS/BMC interfaces

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 deep learning - 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 establish teams with the most thoughtful people in the world. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement.

NVIDIA data center systems have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. These platforms bring together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA Networking, NVIDIA Data Center CPUs, and a fully optimized NVIDIA AI and HPC software stack.

We are seeking an excellent Senior System Engineer to work on bring up, integration, validation and troubleshooting for compute tray platforms of GPU Racks - ensuring servers are fully functional and validated as per requirement before mass deployment in data centers.

What you'll be doing:
  • Working with a global team of architects and developers on NVIDIA AI server system (CPU, GPU, Memory, NIC, PCIe, NVMe SSD, Cooling, etc.) designs.
  • Working closely with hardware teams to influence hardware system design, reviewing schematics and board design to ensure speed of light execution.
  • Using simulation and emulation to left-shift early design and initiate new concepts and innovations.
  • Hands on debug and support of early server prototypes bring-up and power on test debug in datacenter system labs.
  • Factory and Manufacturing support: Support manufacturing flows, firmware updates, and diagnostic procedures. Ensure BOM change signoff and process optimization.
  • Issue Resolution & Customer Support: Drive root cause analysis and resolution of bring-up failures. Collaborate with partners, ODMs, and customers for technical support.
  • Working with design architects to come up with proper diagnostic test tools and automation for qualifying the early system software and firmware stack.
What we need to see:
  • Strong experience of computer system and firmware architecture and design for server products. Experience with CPLD or FPGA design and RTL.
  • Solid experience of end-to-end delivery of high-end enterprise server products from definition to customer deployment.
  • Solid understanding of low-level interfaces between SBIOS, BMC and OS like I2C/SPI/PCIe/JTAG etc. System boot and initialization, PCIe enumeration, high speed I/O at platform level for enterprise systems.
  • Experience on working closely with HW teams, ODMs and vendors to introduce and support server platforms. Experience with C/C++ development, bash/python for scripting, and solid hands-on debugging skills in embedded Linux operating environments.
  • Experience on using simulation such as QEMU and emulation tools to perform validation of early design work. Experience with accelerating design and debug by using AI tools.
  • You should possess excellent written and oral communication skills, good work ethics, high sense of teamwork, 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 exciting problems.
  • Bachelor's Degree or higher in Electrical Engineering or Computer Science (or equivalent experience), and 8+ years of experience, with demonstrated strong ability as individual contributor.
Ways to stand out from the crowd:
  • Experience with early design and power on debug
  • Proven leader who is willing to tackle challenging issues and work in a fast-paced environment

NVIDIA is considered 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 are 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 September 16, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

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