GPU Systems Engineer
$150k - $300kHudson River Trading
Hudson River Trading (HRT) is looking for GPU Systems Engineers to help scale and evolve our exceptionally sophisticated HPC/AI research environment. Joining our Research and Development team, you will collaborate with experts responsible for the compute, storage, operating systems, and automation tools that enable our trading and research to run 24/7 across the globe. We design, grow, and operate infrastructure at a large scale, including triple-digit petabyte-scale storage and massive CPU and GPU clusters in globally distributed data centers. As such, this is a high-impact role with broad scope, from HPC/AI cluster design and performance tuning, to troubleshooting and automation for thousands of nodes. Responsibilities
- Design, build, and optimize large-scale distributed GPU compute clusters
- Identify and resolve GPU workloads’ performance bottlenecks across compute,
QUALIFICATIONS
* 5+ years of experience in large-scale Linux systems engineering in HPC, AI or distributed infrastructure roles. * Extensive experience in Linux system installation, performance tuning, and troubleshooting- Expertise in troubleshooting distributed GPU workloads
- Deep knowledge around GPU optimization and performance
- Proficiency in Python scripting and automation frameworks
- CUDA or C/C++ experience is a plus
- Experience with NVIDIA technologies beyond CUDA, such as NCCL, GPUDirect
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