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Software Engineer, DOCA Verification
Software Engineer, DOCA Verification-March 2024
Mar 28, 2026
ABOUT NVIDIA
NVIDIA is a computing platform company, innovating at the intersection of graphics, HPC, and AI.
10,000+ employees
Technology
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About Software Engineer, DOCA Verification

  NVIDIA is looking for a Software Engineer to join the NVIDIA DOCA™ SDK Verification team. The NVIDIA DOCA™ SDK enables developers to rapidly create applications and services on top of NVIDIA® BlueField® data processing units (DPUs), leveraging industry-standard APIs. With DOCA, developers can deliver breakthrough networking, security, and storage performance by harnessing the power of NVIDIA's DPUs.

  What you'll be doing:

  Design and develop verification infrastructure in Python that ensures the quality of the DOCA™ SDK.

  Write code in Python and C++ for functional and performance verification tests

  Collaborate with design engineers to create a verification plan for DOCA features, ensuring the delivery of high-quality functionality.

  What we need to see:

  Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.

  Proven experience of 1+ years as a software engineer, with a focus on building complex software systems.

  Strong knowledge and practical experience in software design and architecture principles.

  Proficiency in programming languages such as Python, C++ or similar.

  Deep understanding of software development methodologies and best practices.

  Excellent problem-solving skills and the ability to tackle complex technical challenges.

  Effective communication and collaboration skills, with the ability to work in a team environment.

  Demonstrated leadership capabilities and the ability to inspire and motivate team members.

  Track record of delivering high-quality work on time and meeting project deadlines.

  Ways to stand out from the crowd:

  Expert-level knowledge in the Python programming language.

  Background in Operation Systems, preferably in Linux.

  Knowledge in one or more of the following Networking areas: Ethernet, VLANs, TCP/UDP/IP, QoS, L2-L3 protocols.

  We have some of the most forward-thinking and hardworking people 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 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.

  NVIDIA is a Learning Machine

  NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society.

  Learn more about NVIDIA .

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