Senior Software Engineer, SONiC - Networking

NVIDIA is hiring a Senior Software Engineer, SONiC - Networking. It pays $152k-$242k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

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

AI in this role

NVIDIA is looking for a creative SW engineer to join the team. SONiC open source NOS team is responsible for design and integration on various NVIDIA Networking products. This crucial role will give you a rare chance to make an impact on the industry through interactions with experts in the open source community, with the goal of creating next generation high speed switch solutions.

You should have a proven understanding of Networking. You should be able to lead development efforts for new SONiC networking features as well as chassis management for all NVIDIA Networking products. The ability to work in a dynamic and diverse team is required. Strong interpersonal skills and a real passion for working as a team are essential. If this sounds like a fun challenge, we want to hear from you!

What you will be doing:

Design, integrate and deliver new features' part of the SONiC release train on top of NVIDIA Networking products.
Working in a Continuous Deployment environment - fast development/deployment cycles.
Working with experienced teams in and outside of NVIDIA Networking, which is well known in the SONIC community
Developing high quality code; all of the code is open source and published and reviewed in industry leading open source environments

What we need to see:

B.Sc degree in Computer Science or related fields (In studied EE) graduate or equivalent experience
3-5 years of experience in development
Knowledge in Networking protocols
Proven experience with AI tools for development or developing agents.
Experience with C++ and Python programming
Fast and self learner with outstanding technical skills.
Great teammate with strong communication and interpersonal skills

Ways to stand out from the crowd:

Experienced in Networking protocols: L2 and L3
Experience in SONiC/SAI or open source based projects
Background with Linux programming
Knowledge in Linux shell scripting
Scrum methodology

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 and, 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.

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:
152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 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

Senior Software Engineer, SONiC - Networking at NVIDIA rates 26 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.