NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
GPU-accelerated computing โข artificial intelligence โข deep learning โข virtual reality โข gaming
October 22, 2024
๐บ๐ธ United States โ Remote
๐ต $148k - $276k / year
โฐ Full Time
๐ Senior
๐งโ๐ป Full-stack Engineer
๐ฆ H1B Visa Sponsor
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
GPU-accelerated computing โข artificial intelligence โข deep learning โข virtual reality โข gaming
โข Engage with our partners and customers to root cause functional and performance issues reported with NCCL โข Conduct performance characterization and analysis of NCCL and DL applications on groundbreaking GPU clusters โข Develop tools and automation to isolate issues on new systems and platforms, including cloud platforms (Azure, AWS, GCP, etc.) โข Guide our customers and support teams on HPC knowledge and standard methodologies for running applications on multi-node clusters โข Document and conduct trainings/webinars for NCCL โข Engage with internal teams in different time zones on networking, GPUs, storage, infrastructure and support.
โข B.S./M.S. degree in CS/CE or equivalent experience โข 5+ years of relevant experience โข Experience with parallel programming and at least one communication runtime (MPI, NCCL, UCX, NVSHMEM) โข Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design โข Experience working with engineering or academic research community supporting HPC or AI โข Practical experience with high performance networking: Infiniband/RoCE/Ethernet networks, RDMA, topologies, congestion control โข Expert in Linux fundamentals and a scripting language, preferably Python โข Familiar with containers, cloud provisioning and scheduling tools (Docker, Docker Swarm, Kubernetes, SLURM, Ansible) โข Adaptability and passion to learn new areas and tools โข Flexibility to work and communicate effectively across different teams and timezones
โข equity โข benefits
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