NVIDIA DOCA team is seeking a highly motivated, qualified, and hardworking Verification Student to design and implement verification systems for our next-generation Data Processing Unit Software. This role encompasses a wide range of features related to networking and embedded systems, offering an opportunity to make a real impact in a dynamic, technology-focused company that is transforming the way Smart-Adapters are utilized in data centers worldwide. At NVIDIA, we are united in our quest to revolutionize this field.
What you’ll be doing:
As a Verification Student in the DOCA SDK Verification Group, you will be responsible for designing and implementing verification suites (tests) to verify and ensure the correctness of the DOCA Core libraries. Your duties will include:
- Developing a comprehensive understanding of the features you are responsible for testing, their purpose, usage, and alignment with the rest of the DOCA libraries.
- Designing and implementing tests for the features, APIs, and flows that utilize these APIs.
- Gaining exposure to various operating systems, tools, and domains (Linux, networking, RPCs, virtualization, debuggers, product builds, and more).
- Becoming familiar with every aspect of product development, from build to configuration and runtime.
- Cultivating a strategic mindset to perceive the big picture and orchestrate these elements into a harmonious ensemble.
- Applying problem-solving skills to analyze failures, explain root causes, open bugs, and drive solutions.
What we need to see:
- Outstanding student pursuing a B.Sc. in Computer Science, Computer Engineering, or Communication Systems Engineering.
- Strong willpower, desire to learn, and dedication.
- Excellent analytical, debugging, and problem-solving skills.
- Exceptional communication skills, fluent in English, self-motivated, and well-organized.
- Ability to learn complex concepts in a fast-paced environment.
- A team player with a can-do attitude, high energy, and excellent interpersonal skills.
- An official and updated grade sheet (in Word or PDF format, including your GPA).
Ways to stand out from the crowd:
- Prior experience with Python or C/C++
- Background or coursework in networking, such as network protocols, network concepts or TCP/IP.
- Familiarity with Linux.
- Prior experience in operating systems.
- Experience with AI tools (cursor, MS copilot, etc.)
Why NVIDIA?NVIDIA is widely regarded as one of the most desirable employers in the technology world. We have some of the most forward-thinking and hardworking individuals on the planet working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees, and we do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by law.
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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.”





