Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 6
Distributed Systems @ 6
GPU
Leadership @ 6
Linux @ 7
Networking
Python @ 4
Security @ 7
Stress Testing
Technical Leadership @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA's Data Center MODS organization is seeking a Principal Engineer to architect and scale next-generation L10 and L11 diagnostic systems for Cloud Service Providers (CSPs). The role involves defining the technical roadmap and leading multifunctional development to deploy robust diagnostic frameworks for AI accelerator products. Proficiency in distributed systems and hardware/software interfaces is essential.
Responsibilities
- Define the technical strategy and development of NVIDIA's data center diagnostic systems.
- Orchestrate large-scale stress testing for CPUs, GPUs, networking, memory, and high-speed interconnects.
- Mentor and grow engineering teams while providing technical leadership and encouraging a culture of innovation and excellence.
- Drive root-cause analysis of systemic failures spanning multiple hardware and software domains.
- Partner with CSPs to diagnose and address scalability challenges within 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 systems knowledge of x86 and ARM architectures, Linux OS internals, firmware including UEFI/BIOS, Redfish, HMC, BMC protocols, and platform security.
- A consistent track record of technical leadership, including leading project teams and setting technical direction.
- Expertise in software testing methodologies, with an automation-led, AI-first approach to ensuring software quality.
Compensation and Benefits
- Base salary range: $272,000-$431,250 USD per year.
- Eligible for equity and benefits.
Applications will be accepted at least until March 10, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.
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