NVIDIA
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 • artificial intelligence • deep learning • virtual reality • gaming
Senior System Software Engineer
April 14
🏄 California – Remote
🤠 Texas – Remote
💵 $148k - $287.5k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
NVIDIA
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 • artificial intelligence • deep learning • virtual reality • gaming
📋 Description
• Engage with our partners and customers to root cause functional and performance issues reported with NCCL • Conduct performance characterization and analysis of NCCL and DL applications on groundbreaking GPU clusters • Develop tools and automation to isolate issues on new systems and platforms, including cloud platforms (Azure, AWS, GCP, etc.) • Guide our customers and support teams on HPC knowledge and standard methodologies for running applications on multi-node clusters • Document and conduct trainings/webinars for NCCL • Engage with internal teams in different time zones on networking, GPUs, storage, infrastructure and support.
🎯 Requirements
• 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
🏖️ Benefits
• equity • benefits
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