Software Engineer – Networking Platforms, Diagnostics Tools and Performance

The NVIDIA Networking Diagnostics team is seeking a highly motivated entry-level junior engineer to join us in developing diagnostic tools for our newest, world-leading networking platforms. This role is a great opportunity to gain hands-on experience and make a real impact in a dynamic, technology-focused company, supporting data centers and high-performance computing (HPC) clusters worldwide. We are looking for curious and driven engineers who thrive in a fast-paced environment and are passionate about learning and improving the stability of next-generation hardware.

What You'll Be Doing

• Design & Implement: Contribute to the design and development of diagnostic tools and frameworks using Python for NVIDIA’s networking platforms.
• Performance Optimization: Assist in developing efficient and scalable software, learning how to optimize performance for high-throughput systems and real-time monitoring.
• System Diagnostics: Help develop features that connect hardware behavior with software-level diagnostics and analysis.
• Collaborative Problem Solving: Work closely with hardware, firmware, and driver teams to solve real-world technical challenges.
• Learning & Growth: Gain exposure to the full software development lifecycle, from understanding hardware specifications to deployment and validation.
  
  

• B.Sc. in Computer Engineering, Computer Science, Electrical Engineering, or a related field (or equivalent experience).
• 0–4 years of experience in software development (internships or academic projects are welcome).
• Strong programming skills in Python and a willingness to learn and improve.
• Basic understanding of networking concepts (TCP/IP, Ethernet, or InfiniBand).
• Familiarity with Linux environments.
• Good analytical thinking and problem-solving skills.
• Strong communication skills and the ability to work well in a team.
  
  

• Experience from internships or academic projects related to systems, networking, or hardware.
• Exposure to performance optimization or debugging tools.
• Basic knowledge of C/C++ or low-level programming.
• Familiarity with Linux internals or system-level development.
• Demonstrated curiosity and ability to quickly learn new technologies.