NVIDIA is seeking a motivated Performance engineer to influence the roadmap of its communication libraries for Deep Learning and HPC applications.
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 (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
Benefits
