6 days ago
Base Salary
$184k - $357k/yr
Responsibilities
- Develop diagnostic systems and worst-case stress workloads for NVIDIA data center CPUs, GPUs, memory, storage, and interconnects.
- Lead platform bring-up and integration across the server lifecycle.
- Drive hardware validation strategy and create validation plans for new server generations.
- Analyze complex failures, perform root-cause analysis, and serve as a Level 2 engineering contact for critical issues.
- Develop and scale diagnostic software across ODM and partner production lines.
- Mentor engineering teams and provide technical leadership.
- Define diagnostic architecture, roadmaps, and long-term product strategy with partners.
Requirements
- Experience architecting diagnostics for complex server systems at the software/hardware interface.
- Deep knowledge of x86 and ARM architectures, Linux and Windows operating system internals, UEFI/BIOS, BMC, and platform security.
- Ability to evaluate system-development tradeoffs and drive solutions with customers and multidisciplinary teams.
- Expertise in C, C++, and Python for tool development and automation.
- Familiarity with PCIe, InfiniBand, NVLink, and Ethernet.
- Strong communication skills for engaging technical and executive teams.
- BS/MS or equivalent experience in Computer Science, Electrical Engineering, or a related field.
- At least 8 years of engineering experience in diagnostics, embedded systems, or cloud platforms.
- Experience with rack-level or cluster-level deployments, cloud-scale infrastructure, partner engagement, product direction, vendor roadmaps, mentoring, or team building is preferred.
Benefits
- Eligible for equity and benefits.
- Expected base salary ranges are $184,000–$287,500 for Level 4 and $224,000–$356,500 for Level 5.
- Applications will be accepted at least until November 7, 2026.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.