Senior HPC Performance Engineer, Multi-GPU Debugging

NVIDIA Corporation; Remote; USD 60,000 - 140,000; Full time

Job summary

A leading tech company is seeking an experienced engineer specializing in performance analysis to work on multi-GPU clusters. The role involves conducting performance characterization, evaluating solutions, and developing tools for data visualization. The ideal candidate will hold a master's or PhD, possess extensive knowledge in parallel programming, and have experience with CUDA and various communication runtimes. Join us to be part of a dynamic team pushing the boundaries of AI technology.

Benefits

Highly competitive salaries

Extensive benefits package

Promotes diversity and inclusion

Qualifications

• 3+ years of experience with parallel programming and at least one communication runtime.
• Good understanding of computer system architecture and HW-SW interactions.
• Experience debugging performance issues across the HW/SW stack.

Responsibilities

• Conduct in-depth performance characterization and analysis on large multi-GPU clusters.
• Evaluate proof-of-concepts; conduct trade-off analysis when multiple solutions are available.
• Collect performance data; build tools to visualize and analyze the information.

Skills

Parallel programming

Performance benchmarking

CUDA programming

Scripting (Python)

Cloud provisioning

Education

M.S. or PhD in Computer Science or related field

Tools

MPI

NCCL

UCX

Kubernetes

SLURM

Docker

Job description

A leading tech company is seeking an experienced engineer specializing in performance analysis to work on multi-GPU clusters. The role involves conducting performance characterization, evaluating solutions, and developing tools for data visualization. The ideal candidate will hold a master's or PhD, possess extensive knowledge in parallel programming, and have experience with CUDA and various communication runtimes. Join us to be part of a dynamic team pushing the boundaries of AI technology.