NVIDIA is transforming the world of networking for massively scaled AI factories through Spectrum-X: NVIDIA’s Ethernet Networking solution. We need automation engineers with strong coding skills to join our Spectrum-X team and create the products that will drive the next phase of AI growth. Aa a Software Engineer you will ensure that the solution's software features are developed, tested and delivered to meet the high standards of our customers. Do you want to help create the most exciting solutions in the world of networking today? If so, read on.
What you'll be doing:
Participating in an international team of software engineers working on products for testing NVIDIA ethernet networking products.
Designing and implementing robust, maintainable, and efficient automation test suites for end-to-end testing of AI ethernet networks.
Engaging directly with NVIDIA customers to ensure we are aligned on their networking requirements and solve their problems.
Debugging and diagnosing complex networking problems.
What we need to see:
B.A./B.Sc. in Computer Science or equivalent experience.
5+ years of experience of networking product delivery (e.g. switches, routers, NICs) and the software development lifecycle.
Strong programming skills in Python.
Experience of creating and maintaining robust test automation systems, and a desire to automate everything.
Exceptional analytical and problem-solving skills, with a keen attention to detail, particularly in identifying and resolving networking issues.
Good English communication and interpersonal skills.
Good Linux familiarity.
Ways to stand out from the crowd:
Experience of data center network engineering spanning servers, NICs, cabling and switches.
Strong knowledge of ethernet networking, from switch pipelines (e.g. ACLs, forwarding rules) through networking protocols (like TCP/IP and BGP/EVPN-VxLAN) to network operating systems and their automation.
Have a passion for AI and networking.
Experience of NVIDIA networking technology such as Bluefield/ConnectX NICs, Spectrum switches, and the Cumulus Linux and SONiC operating systems.
Networking certification (e.g. CCIE, JNCIE, ACE-E).
NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and hardworking individuals in the world working for us. If you're creative and autonomous, we want to hear from you!
Skills Required
- 5+ years of experience in networking product delivery
- Strong programming skills in Python
- Experience in creating and maintaining test automation systems
- Good Linux familiarity
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.”
