Note: The job is a remote job and is open to candidates in USA. NVIDIA develops accelerated computing and AI technologies, including GPU-based systems for data centers and other applications. The company is seeking a Principal System Software Engineer to architect and scale diagnostic systems for next-generation data center AI accelerator products, define the technical roadmap, lead cross-functional development, and address complex hardware and software failures with cloud service providers.
Responsibilities
- Define technical strategy and development of NVIDIA’s Data Center diagnostic systems, orchestrating large-scale stress testing for CPUs, GPUs, networking, memory, and high-speed interconnects
- Mentor and grow engineering teams, providing technical leadership and encouraging a culture of innovation and excellence
- Drive the root-cause analysis of systemic failures that intersect multiple hardware and software domains
- Partner with CSPs to diagnose and address scalability challenges within their unique data center infrastructures
Skills
- Bachelor's degree in Computer Science/Engineering, Electrical Engineering, or a related field (or equivalent experience)
- 15+ years of system software experience working on highly resilient distributed systems with programming experience in C++ or Python
- Deep systems knowledge of x86/ARM architectures, Linux OS internals, firmware (UEFI/BIOS), Redfish, HMC, BMC protocols and platform security
- Consistent track record demonstrating technical leadership leading project teams and setting technical direction
- Expertise in software testing methodologies with an automation-led, AI-first approach to ensuring software quality
Benefits
- You will also be eligible for equity
- Benefits
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