NVIDIA Networking System Product Engineering group is looking for an excellent Software Engineer. The position requires an understanding of HW and SW to provide stable, efficient, smoothly running production tests, to enable high availability, while ensuring the quality of the products being shipped to customers. You will lead the development of our products and raise the bar of the software development quality in the group. We have crafted a team of extraordinary people, whose mission is to push the frontiers of what is possible today and define the platform of tomorrow.
What you’ll be doing:
Design and develop automated tests for networking Switches and Adapters while working closely with the HW, ASIC, and SW Engineering teams to achieve a reliable test with high coverage
Exposed to various aspects of design, DFT, and test of NVIDIA's next-generation network products
Take a significant part in the definition and development of tests from the development level to the final test of Network-Systems
Utilize test suites to find, debug and resolve problems with production process
Ability to drive projects to full execution in time and working under pressure of schedule and multi project environment
Supporting and fixing bugs of existing code. Supporting production lines for: deployments, patches, maintenance
Test Verification and Validation (both HW and SW). Troubleshooting and streamlining/optimizing our testing procedures
What we need to see:
BSc/MSc or equivalent engineering degree in Computer Science, Electrical Engineering, or a related field
4+ years of related experience in software development and design
4+ years of proven experience in Python or similar platform
Excellent knowledge of a version control system (preferably GIT)
Linux based development
Experience with Software/Hardware products integration
Excellent communication skills with hands-on experience collaborating with global teams
Strong teamwork skills, with the ability to collaborate effectively across cross-functional teams
Ways to stand out from the crowd:
Excellent programming, debugging, performance analysis, and test design skills
Familiarity with product manufacturing flows and processes
Exposure and knowledge around application development, configuration management and automation
Experience in tools/services development. Creativity – find solutions for challenging requirements
Strong leadership skills to drive a project from definition through mass production.
Skills Required
- BSc/MSc or equivalent engineering degree in Computer Science, Electrical Engineering, or a related field
- 4+ years of related experience in software development and design
- 4+ years of proven experience in Python or similar platform
- Excellent knowledge of a version control system (preferably GIT)
- Linux based development
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.”
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