Senior Systems Software Engineer, Data Center Platform Enablement
NVIDIA
Opportunity published from Workday · applications stay with the original hiring source.
About the opportunity
NVIDIA is seeking a 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 requirements before mass deployment in data centers.
You will collaborate with global teams on NVIDIA AI server system designs, utilizing simulation and emulation to left-shift early design, and driving root cause analysis and resolution of bring-up failures.
Key responsibilities
- Working with a global team of architects and developers on NVIDIA AI server system designs including CPU, GPU, Memory, NIC, PCIe, NVMe SSD, and Cooling.
- Working closely with hardware teams to influence hardware system design and reviewing schematics and board design.
- Using simulation and emulation to left-shift early design and initiate new concepts and innovations.
- Performing hands-on debug and support of early server prototypes bring-up and power-on test debug in datacenter system labs.
- Supporting manufacturing flows, firmware updates, diagnostic procedures, BOM change signoff, and process optimization.
- Driving root cause analysis and resolution of bring-up failures while collaborating with partners, ODMs, and customers.
- Working with design architects to develop diagnostic test tools and automation for qualifying early system software and firmware stacks.
Qualifications
- Bachelor's Degree or higher in Electrical Engineering or Computer Science (or equivalent experience) with 8+ years of experience as an individual contributor.
- Strong experience in computer system and firmware architecture and design for server products, including CPLD or FPGA design and RTL.
- Solid experience in 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, and JTAG, along with system boot, initialization, PCIe enumeration, and high-speed I/O.
- Experience working with HW teams, ODMs, and vendors, plus C/C++ development, bash/python scripting, and embedded Linux debugging skills.
- Experience using simulation such as QEMU and emulation tools for early design validation and accelerating debug using AI tools.
- Excellent written and oral communication skills, strong work ethic, teamwork, and commitment to quality.
- Self-starter approach with a passion for creative problem solving in exciting environments.
Nice to have
- Experience with early design and power-on debug.
- Proven leadership in tackling challenging issues within a fast-paced environment.
Benefits
- Base salary range of 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
- Equity eligibility.
- Comprehensive benefits package.
Job details
- Location: Not specified (Remote/hybrid/on-site status not specified).
- Work authorization: Sponsorship restrictions not specified.
- Application deadline: Applications accepted at least until October 8, 2026.
- Posting type: Existing vacancy.
About the company
NVIDIA's invention of the GPU in 1999 fueled the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing.
GPU deep learning subsequently ignited modern deep learning as the brain of computers, robots, and self-driving cars, establishing NVIDIA increasingly as the AI computing company.
NVIDIA data center systems have become core to enterprise and cloud provider businesses, bringing together GPUs, NVLink, Networking, Data Center CPUs, and optimized AI and HPC software stacks.
Additional information
- NVIDIA uses AI tools in its recruiting processes.
Application: UpVagas lists this opportunity from the hiring company or its recruitment platform. The application is completed at the original source.
