Manager, Software Engineering - Networking

NVIDIA is hiring a Manager, Software Engineering - Networking in Santa Clara, United States. It pays $224k-$357k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

Level rates this role Little AI ●○○○: aI is not part of the work.
Level classes it as a mid-level role.
NVIDIA has 2,700+ other open roles on Level.

AI in this role

NVIDIA is looking for a creative SW engineering manager to join the team. The incredible growth of AI factories represents the greatest change the world of networking has seen. Spectrum-X is NVIDIA's end-to-end Ethernet Networking solution designed to meet this new challenge with customers including the biggest and fastest-moving organizations in the world. We need a software engineering manager with strong people, customer-facing, and technical skills to join our Spectrum-X engineering team and help make this technology a success.

What you'll be doing:

Building and managing a team of US-based software engineers developing NVIDIA's networking products.
Debugging and diagnosing complex networking problems, and crafting the tools/processes to do it better.
Engaging directly with NVIDIA customers to ensure we are aligned on their networking requirements and solve their problems.
Working with a worldwide team of engineers, architects, product managers, and field personnel.

What we need to see:

B.A./B.Sc. in Computer Science or equivalent experience.
8+ overall years of experience developing embedded networking software (e.g. switches, routers, NICs)
3+ years of experience as a personnel manager leading software teams.
Strong programming skills in C and Python on Linux.
Leadership in AI-native software development.
Outstanding analytical and problem-solving skills, with a keen attention to detail, particularly in identifying and resolving networking issues.
Good English communication and interpersonal skills.
A track-record of autonomous and successful delivery under challenging conditions.

Ways to stand out from the crowd:

Experience of data center network engineering spanning servers, NICs, cabling and switches.
Strong understanding 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.
Experience of NVIDIA networking technology such as Bluefield/ConnectX NICs, Spectrum switches, and the Cumulus Linux and SONiC operating systems.
Experience recruiting teams of software engineers.

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.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
224,000 USD – 356,500 USD for Level 3; and 272,000 USD – 431,250 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

How we rate this

Manager, Software Engineering - Networking at NVIDIA rates 28 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.