NVIDIA is looking for a Senior 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:
- Develop verification infrastructure in Python, tackling complex technical challenges, to ensure the robustness and correctness of DOCA™ Services
- Engage in the full software development lifecycle of verification components, from design to implementation, and deployment
- Write tests for verifying the functionality and performance of the DOCA platform
- Debug and analyze complex system-level issues to identify root causes and ensure timely resolution
What we need to see:
- Bachelor's or Master's degree in Computer Science or Software Engineering,.
- Proven experience of 5+ 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, Java, 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.
Top Skills
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.”
