The NVIDIA DOCA Verification team is seeking a highly motivated and hardworking Software Verification Engineer. This role requires hands-on technical experience to verify the design and implementation of the next generation Data Processing Unit (DPU) Software. The position involves working with a wide range of features related to networking, hardware accelerators, cybersecurity, and embedded systems.

This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting data centers across the world. At NVIDIA, we are united in our quest to transform the way Smart Network Adapters are used.

What you'll be doing:

• Collaborate with top-tier engineers to define, plan, and develop testing platforms and infrastructure using C/C++ and Python.

• Design and continuously enhance verification infrastructure and methodologies to meet the demands of next-generation Data Processing Units (DPUs).

• Ensure product reliability by reviewing nightly test runs and diagnosing any failures.

What we need to see:

• Bachelors Degree in EE, CS or CE or equivalent work experience

• 3+ years in a similar or related role with Hands on experience with the software development lifecycle, specifically for embedded systems and security.

• Detail oriented and comfortable multitasking in a dynamic environment with shifting priorities and changing requirements.

• Ability to organize tasks, break plans into manageable subtasks, monitor progress, and effectively communicate status.

• Ability to work with various teams and have strong analytical, debugging and problem-solving skills with attention to details.

• Excellent communications skills, self-motivated and well organized.

• Strong programming skills in C/C++ must, Python or other scripting languages (such as Shell)-advantage.

Ways to stand out from the crowd:

• Possess prior experience in software testing, with a solid understanding of testing tools and methodologies such as gtest, pytest or other similar frameworks.

• Have a strong familiarity with Linux environments and networking concepts.

• Prior familiarity with Continuous Integration methodologies and tools, including Git, Gerrit, and Jenkins.

• Previous experience with Scrum methodologies

• Demonstrate knowledge of NVIDIA Data Processing Unit (DPU) products, as well as other NVIDIA technologies and solutions

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're creative, self-motivated and enjoy having fun, then what are you waiting for? Apply today!

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.