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NVIDIA is seeking a Senior Software Engineer to join our new team dedicated to networking performance measurement and analysis tools. Our group develops tools for benchmarking and profiling NVIDIA's cutting-edge networking technologies. These tools support thousands of GPUs and nodes, accelerating massive computing and AI workloads. They enable engineers within NVIDIA and across the industry to optimize networking performance quickly and accurately. Our technology stack includes Ethernet, RoCE, InfiniBand, NCCL, Spectrum-X, NVLink, and more.

Some of our deliveries are integrated into the DOCA SDK (https://developer.nvidia.com/networking/doca) (https://developer.nvidia.com/networking/doca%29) , while others are open-source, welcoming contributions from the community.

What you will be doing

• Own tools for performance benchmarks and analysis for both internal and external use, primarily using C++ and Python, but open to other technologies, including data analysis, AI and ML

• Work with teams across various departments to define performance analysis requirements and ensure benchmarks and tools align with our product goals

• Bring fresh ideas and approaches to enhance our tools and processes

• Take a leading part in shaping a professional software culture within a new team, ensuring excellence and adherence to established guidelines

• Improve existing code, conduct thorough code and design reviews, and mentor junior engineers

• Gain a solid understanding of relevant system-level and networking aspects to effectively contribute to our domain-specific challenges

• Implement modern DevOps practices to streamline development and deployment processes

What we need to see

• B.Sc. (or equivalent experience) in computer science/software engineering

• 5+ years’ experience in SW development (C/C++, Python, Rust, etc.)

• Proficient in modern C++11 and later standards, with a proven track record to develop, optimize, and maintain software solutions. Well-versed in using compilers, debugging tools, and build systems (e.g., Meson, Makefiles, CMake) for full software development lifecycle tasks

• Adept with Linux environment and tools

• Passionate about coding standards, proper design, and performance optimizations

• Proficient in using Git-based repositories. Experienced with GitHub Actions, GitLab CI/CD or similar platforms for automating build, test, and deployment workflows

• Ambitious and self-motivated, with a strong desire to continuously learn and improve

• Ownership mindset: we don’t just code — we drive business results

Ways to stand out from the crowd

• Understanding of hardware and networking concepts relevant to our technologies (Ethernet, InfiniBand, RDMA, etc.)

• Experience developing profiling, benchmarking, optimizing, compilation, or similar purposes for system-level solutions, encompassing both hardware and software stacks

• Contributions and involvement in open-source projects

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.