Senior HPC and AI Networking Performance Research and Analysis Engineer

Details

Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. Today, visual computing is a crucial tool in helping people get along with technology, and NVIDIA has extended its technology into datacenters, mobile devices and cars. There has never been a more exciting time to join our team - if this role sounds like a fit for you, we'd love to hear from you!

Responsibilities

• Exploring and researching AI workloads and DL models specifically tailored for large-scale deep learning LLM training on NVIDIA supercomputers and distributed systems focusing on high-performance networking and Nvidia Collective Communications Library (NCCL).
• Benchmarking, Profiling, and Analyzing the performance to find bottlenecks and identify areas of improvement and optimizations, with a strong emphasis on networking aspects.
• Implementing performance analysis tools.
• Collaborating with many teams from hardware to software to provide performance analysis insights.
• Defining performance test planning, setting performance expectations for new technologies and solutions, and working to reach the performance targets limits.

Requirements

• B.Sc in Computer Science or Software Engineering or equivalent experience.
• 5+ years of experience with high-performance Networking (RDMA, MPI, NCCL, Congestion Control Algorithms).
• Demonstrated Performance Analysis skills and methodologies.
• Experience with NVIDIA GPUs, CUDA library, deep learning frameworks like TensorFlow or PyTorch, combined with expertise in networking collective communication libraries (such as NCCL) and protocols (such as RoCE and RDMA).
• Fast and self-learning capabilities with strong analytical and problem-solving skills.
• Programming Languages: Python, Bash and C languages.
• Experience with Linux OS distros.
• Great teammate with good communication and interpersonal skills.

Ways to stand out from the crowd

• In-depth knowledge and experience with AI workloads and benchmarking for distributed LLM training.
• Knowledge in CUDA, and NCCL libraries.
• Knowledge in Congestion Control algorithms.
• In-depth System knowledge and understanding (Intel / AMD / ARM CPUs, NVIDIA GPUs, HCA, Memory, PCI).
• Strong Performance Analysis skills and methodologies using modern tools.

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. We have 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. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world!