GPU-accelerated computing β’ artificial intelligence β’ deep learning β’ virtual reality β’ gaming
10,000+
Yesterday
πΊπΈ United States β Remote
π΅ $148k - $276k / year
β° Full Time
π Senior
π§βπ» Full-stack Engineer
GPU-accelerated computing β’ artificial intelligence β’ deep learning β’ virtual reality β’ gaming
10,000+
β’ Engage with our partners and customers to root cause functional and performance issues reported with NCCL β’ Conduct performance characterization and analysis of NCCL and DL applications on groundbreaking GPU clusters β’ Develop tools and automation to isolate issues on new systems and platforms, including cloud platforms (Azure, AWS, GCP, etc.) β’ Guide our customers and support teams on HPC knowledge and standard methodologies for running applications on multi-node clusters β’ Document and conduct trainings/webinars for NCCL β’ Engage with internal teams in different time zones on networking, GPUs, storage, infrastructure and support.
β’ B.S./M.S. degree in CS/CE or equivalent experience β’ 5+ years of relevant experience β’ Experience with parallel programming and at least one communication runtime (MPI, NCCL, UCX, NVSHMEM) β’ Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design β’ Experience working with engineering or academic research community supporting HPC or AI β’ Practical experience with high performance networking: Infiniband/RoCE/Ethernet networks, RDMA, topologies, congestion control β’ Expert in Linux fundamentals and a scripting language, preferably Python β’ Familiar with containers, cloud provisioning and scheduling tools (Docker, Docker Swarm, Kubernetes, SLURM, Ansible) β’ Adaptability and passion to learn new areas and tools β’ Flexibility to work and communicate effectively across different teams and timezones
β’ equity β’ benefits
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πΊπΈ United States β Remote
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π Senior
π§βπ» Full-stack Engineer
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