2 days ago
Base Salary
$272k - $431k/yr
Responsibilities
- Define the technical strategy and development roadmap for NVIDIA Data Center diagnostic systems.
- Architect and scale diagnostic frameworks for large-scale stress testing of CPUs, GPUs, networking, memory, and high-speed interconnects.
- Lead multifunctional development and deployment of resilient diagnostic systems for AI accelerator products.
- Mentor and grow engineering teams while providing technical leadership and setting technical direction.
- Drive root-cause analysis of systemic failures spanning multiple hardware and software domains.
- Partner with Cloud Service Providers to diagnose and address scalability challenges in their data center infrastructures.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
- 15+ years of system software experience working on highly resilient distributed systems.
- Programming experience in C++ or Python.
- Deep knowledge of x86 and ARM architectures, Linux OS internals, UEFI/BIOS, Redfish, HMC, BMC protocols, and platform security.
- Demonstrated technical leadership, including leading project teams and setting technical direction.
- Expertise in software testing methodologies with an automation-led, AI-first approach to software quality.
Benefits
- Eligible for equity and benefits.
- Expected base salary range is USD 272,000–431,250 per year.
- Applications accepted at least until November 3, 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.