NVIDIA is looking for an exceptional Software Engineer to join our Networking Verification team. In this role, you will build tests, tools, and automation to validate advanced networking and transport features on NVIDIA Ethernet adapters and DPUs, working closely with software, firmware, and architecture teams to deliver highly reliable, high‑performance solutions for modern data centers.
What you’ll be doing:
Design, implement, and maintain test and automation infrastructure in C/C++ and Python for validating complex networking and transport functionality.
Develop and execute functional, regression, stress, and performance tests for connection‑oriented networking flows, including loss, reordering, failover, and scale scenarios.
Work with design, driver, and firmware teams to define verification plans, review specifications, and identify corner cases and negative flows.
Investigate failures by analyzing logs, traces, and counters from host, NIC, and DPU to debug cross‑layer issues (application, driver, firmware, hardware, and network).
Take end‑to‑end ownership of features: from requirement and test design, through implementation and integration, to sign‑off for product releases.
What we need to see:
B.Sc. in Computer Science, Computer/Software Engineering, or equivalent.
4+ years of hands‑on software development experience.
Strong programming skills in C/C++ and Python, with a focus on writing clean, maintainable, and testable code.
Solid understanding of operating systems and low‑level software (threads, synchronization, memory, I/O, performance) and good knowledge of computer networking fundamentals (L2/L3, TCP/UDP, sockets, client‑server architectures).
Proven ability to debug complex problems in large, multi‑component systems using logs, traces, and debugging tools.
Strong communication skills, ability to work in a collaborative, cross‑functional environment, and a high sense of ownership.
Ways to stand out from the crowd:
Ability to effectively leverage AI and machine learning (ML) technologies and tools to improve development, debugging, and verification efficiency.
Experience with networking or storage drivers and low‑level I/O stacks, including hands‑on work with NICs, DPUs, or other accelerators, and familiarity with hardware/firmware interaction.
Background building automation and verification frameworks for complex distributed or performance‑critical systems, including transport‑level reliability and congestion concepts (e.g., retransmission, flow control, congestion handling), and how to test them.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!
Skills Required
- B.Sc. in Computer Science, Computer/Software Engineering, or equivalent
- 4+ years of hands-on software development experience
- Strong programming skills in C/C++ and Python
- Solid understanding of operating systems and networking fundamentals
- Proven ability to debug complex problems in large systems
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
