What we need to see: B.S./M.S. degree in CS/CE or equivalent experience with 5+ years of relevant experience. Experience with parallel programming and at least one communication runtime (MPI, NCCL, UCX, NVSHMEM) Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design Experience working with engineering or academic research community supporting HPC or AI Practical experience with high performance networking: Infiniband/RoCE/Ethernet networks, RDMA, topologies, congestion control Expert in Linux fundamentals and a scripting language, preferably Python Familiar with containers, cloud provisioning and scheduling tools (Docker, Docker Swarm, Kubernetes, SLURM, Ansible) Adaptability and passion to learn new areas and tools Flexibility to work and communicate effectively across different teams and timezones Ways to stand out from the crowd: Experience conducting performance benchmarking and developing infrastructure on HPC clusters. Prior system administration experience, esp for large clusters. Experience debugging network configuration issues in large scale deployments Familiarity with CUDA programming and/or GPUs. Good understanding of Machine Learning concepts and experience with Deep Learning Frameworks such PyTorch, TensorFlow Deep understanding of technology and passionate about what you do NVIDIA is at the forefront of breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization. Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology. We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility. As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all.
