NVIDIA ยท 5 months ago
Senior System Software Engineer, NCCL - Partner Enablement
US, TX, Austin
Full-time
Hybrid
Senior Level
$148K/yr - $288K/yr
5+ years expNVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. They are seeking a Senior System Software Engineer to guide partners and customers with NCCL, conduct performance analysis, and develop tools for high-speed networking applications.
Computer Hardware Manufacturing
Responsibilities
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
Qualification
Required
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
Preferred
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
Benefits
Equity
Benefits
Company
NVIDIA
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing.
10,001+ employees
H1B Sponsorship
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Funding
Current Stage
Late StageCompany data provided by crunchbase