We are looking for a talent Software Engineer to join our Ethernet Switch SONiC Network OS.
At NVIDIA, we have amazing GPUs that power AI applications, but they also require a high-performance network to support them. As a team member, you will have the opportunity to create innovative software that optimizes AI networks for the best performance possible. In this position you will take part in SONiC large worldwide community, contributing new features, bugs fixes and have NVIDIA Switch products running with SONiC NOS in production in different clusters over the world.
About SONiC: https://sonicfoundation.dev/
What you'll be doing:
Design and implement features as part of the SONiC release train on top of NVIDIA Switch products
Be part of NVIDIA SONiC R&D team, contribute code to SONiC worldwide community
Work in a Continuous Deployment environment of fast development/deployment cycles
Work with experienced teams which are well known in the SONiC community
What we need to see:
B.Sc. degree in Computer Science or equivalent experience
8+ overall years of experience in technical software development
Experience in C++ and Python programming on top of Linux operation system
Fast and self learner with outstanding communication and technical skills
Motivated, responsive, and keen on process improvement
Ways to stand out from the crowd:
Experienced in software development on open source project
Experienced in Networking protocols: L2 and L3
Background in Linux shell scripting
Scrum methodology and active scrum master
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family.
NVIDIA is committed to fostering a diverse 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.
Skills Required
- B.Sc. degree in Computer Science or equivalent experience
- 8+ years overall experience in technical software development
- Experience in C++ programming on Linux
- Experience in Python programming on Linux
- Experience with SONiC Network OS
- Fast, self-learner with outstanding communication and technical skills
- Motivated, responsive, and keen on process improvement
- Experience in software development on open source projects
- Experience with L2 and L3 networking protocols
- Background in Linux shell scripting
- Familiarity with Scrum methodology or active Scrum Master experience
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.”
