Senior HPC Performance Engineer

NVIDIA is seeking a Senior HPC Performance Engineer to contribute to the development of innovative technologies and help realize NVIDIA's vision. The successful candidate will conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters, study the interaction of libraries with HW and SW components, and triage and root-cause performance issues reported by customers.

Requirements

• 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
• 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)

Benefits

• Highly competitive salaries
• Extensive benefits package
• Work environment that promotes diversity, inclusion, and flexibility