NVIDIA · 3 days ago
Senior HPC Performance Engineer
Santa Clara, CA
Full-time
Onsite
Mid, Senior Level
$148K/yr - $288K/yr
3+ years expNVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. They are seeking a motivated Performance Engineer to influence the roadmap of their communication libraries, focusing on performance characterization and analysis on large multi-GPU and multi-node clusters.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters
Study the interaction of our libraries with all HW (GPU, CPU, Networking) and SW components in the stack
Evaluate proof-of-concepts, conduct trade-off analysis when multiple solutions are available
Triage and root-cause performance issues reported by our customers
Collect a lot of performance data; build tools and infrastructure to visualize and analyze the information
Collaborate with a very dynamic team across multiple time zones
Qualification
Required
M.S. (or equivalent experience) or PHD in Computer Science, or related field with relevant performance engineering and HPC experience
3+ yrs of experience with parallel programming and at least one communication runtime (MPI, NCCL, UCX, NVSHMEM)
Experience conducting performance benchmarking and triage on large scale HPC clusters
Good understanding of computer system architecture, HW-SW interactions and operating systems principles (aka systems software fundamentals)
Implement micro-benchmarks in C/C++, read and modify the code base when required
Ability to debug performance issues across the entire HW/SW stack. Proficient in a scripting language, preferably Python
Familiar with containers, cloud provisioning and scheduling tools (Kubernetes, SLURM, Ansible, Docker)
Adaptability and passion to learn new areas and tools. Flexibility to work and communicate effectively across different teams and timezones
Preferred
Practical experience with Infiniband/Ethernet networks in areas like RDMA, topologies, congestion control
Experience debugging network issues in large scale deployments
Familiarity with CUDA programming and/or GPUs
Experience with Deep Learning Frameworks such PyTorch, TensorFlow
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
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Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
Recent News
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