Senior System Software Engineer, NCCL – Partner Enablement

October 2

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🤠 Texas – Remote

Although this job is listed in Texas, this company may be open to hiring remote in other states.

💵 $148k - $287.5k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

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NVIDIA

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Artificial Intelligence • Gaming • Automotive

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.

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 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