Senior System Software Engineer - GPU

Employer Industry: Technology (Artificial Intelligence and High-Performance Computing)

• Base salary range of $152,000 - $241,500 for Level 3 and $184,000 - $287,500 for Level 4 positions
• Eligibility for equity and comprehensive benefits
• Opportunity to work on cutting-edge technologies in AI and HPC
• Collaborate with a dynamic team across multiple time zones
• Chance to advance the state of the art in communication libraries and performance engineering
• Engage in a diverse and inclusive work environment

• Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters
• Study the interaction of libraries with hardware and software components in the stack
• Evaluate proof-of-concepts and conduct trade-off analysis for multiple solutions
• Triage and root-cause performance issues reported by customers
• Collect performance data and build tools to visualize and analyze the information

• M.S. (or equivalent experience) or PhD in Computer Science or a related field with relevant performance engineering and HPC experience
• 3+ years of experience with parallel programming and at least one communication runtime (e.g., MPI, NCCL, UCX, NVSHMEM)
• Experience conducting performance benchmarking and triage on large-scale HPC clusters
• Good understanding of computer system architecture, hardware-software interactions, and operating systems principles
• Proficient in a scripting language, preferably Python, and ability to debug performance issues across the entire HW/SW stack

• Practical experience with Infiniband/Ethernet networks, including RDMA, topologies, and congestion control
• Experience debugging network issues in large-scale deployments
• Familiarity with CUDA programming and/or GPUs
• Experience with Deep Learning Frameworks such as PyTorch or Tensor Flow

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