Principal Developer, AI Networking

Overview NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self‑driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Responsibilities Characterizing AI workloads and deep learning models aimed at large‑scale LLM training and inference on NVIDIA supercomputers. Benchmarking, profiling, and analyzing the performance to find bottlenecks and identify areas for improvement and optimizations, with a strong emphasis on networking aspects. Developing PyTorch trace‑based profiling, analysis, and replaying toolset to aid in benchmarking, debugging, and co‑designing network systems for LLM workloads. Collaborating with multiple teams from hardware to software to provide performance analysis insights. Defining performance test plans, setting performance expectations for new technologies and solutions, and working to achieve performance targets. Qualifications B.Sc in Computer Science or Software Engineering or equivalent experience. 15+ years of experience with high‑performance networking (RDMA, MPI, NCCL, SHARP). Demonstrated ability in performance evaluation techniques and approaches. Experience with NVIDIA GPUs and the CUDA library. Knowledge of deep learning frameworks like TensorFlow or PyTorch. Expertise in networking collective communication libraries such as NCCL and protocols like RoCE and RDMA. Fast and self‑learning capabilities with strong analytical and problem‑solving skills. Proficiency in programming languages: Python, Bash, and C++. Experience with a container‑based development environment. Great teammate who communicates clearly and works well with others. Ways to Stand Out from the Crowd Extensive understanding and hands‑on experience with AI workloads and benchmarking for distributed LLM training. Knowledge in PyTorch, CUDA, and NCCL libraries. Comprehensive system knowledge and understanding (Intel / AMD / ARM CPUs, NVIDIA GPUs, HCA, Memory, PCI). Strong capabilities in performance evaluation and methods using contemporary tools. Salary and Benefits Base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD – 431,250 USD for Level6, and 320,000 USD – 488,750 USD for Level7. You will also be eligible for equity and benefits. Application Information Applications for this job will be accepted at least until June16,2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. EEO Statement NVIDIA is committed to fostering an inclusive 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. #J-18808-Ljbffr NVIDIA Corporation