NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. We seek an SW Automation Engineer to join our Ethernet Switch SONiC Network OS. As a Automation Engineer at NVIDIA, you will have to work closely with NVIDIA’s development and architecture teams responsible for SONiC Network OS and gain a deep understanding of NVIDIA products and technologies.
What you’ll be doing:
- Participate in an international team of software engineers working on products for testing NVIDIA products
- Design and implement robust, maintainable, and efficient automation test suite
- Work with Continuous integration systems and regression tools, automate builds, and test suites, generate test reports, isolate and classify failures and review new degradation.
- Innovate! Bring SONiC NOS to shine in customer's view
What we need to see:
- B.Sc. degree or equivalent experience in Engineering/Computer Science/related field
- 2+ years of experience as a Software Engineer
- Intrinsically motivated with a desire for automation programming
- Programming skills in Python
- Strong technical abilities, problem-solving skills, coding, and design skills
Ways to stand out from the crowd:
- Linux knowledge: have a general understanding of Linux operation system concepts
- Strong communication and interpersonal skills, with the ability to motivate and inspire others.
- Knowledge in one or more Networking areas: Ethernet, VLANs, TCP/UDP/IP, QoS, L2-L3 protocols
- Prior software testing experience, with an understanding of Software Testing Tools and Methodologies, and python expertise.
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 outstanding 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.
NVIDIA is committed to encouraging 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, disability status or any other characteristic protected by law.
Skills Required
- B.Sc. degree or equivalent experience in Engineering/Computer Science/related field
- 2+ years of experience as a Software Engineer
- Programming skills in Python
- Strong technical abilities, problem-solving skills, coding, and design skills
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.”
