Senior Performance Engineer, Deep Learning - GPU | 3+ Yrs

Website NVIDIA

Plan and execute GPU performance benchmarking across a wide range of HPC and DL frameworks and applications
Aggregate, analyze, and generate written and visual reports with the testing data for internal sales, marketing, SW, and HW teams
Develop Python scripts to automate the testing of DL & HPC-focused applications
Work with internal engineering team to debug performance issues
Learn to use the latest applications in the fields of Deep Learning and HPC
Assist with the development of tools and processes that improve our ability to perform automated testing

Masters of Science (or equivalent experience) in Computer Engineering, Computer Science or related technical field
3+ years relevant experience
Excellent programming and debugging skills in a scripting language such as Python or Unix shell
Advanced knowledge using Linux based systems (Ubuntu and CentOS strongly preferred)
Proficient in compiling software from source code, including debugging errors encountered
Excellent English verbal and written interpersonal skills to improve collaboration with coworkers
Excellent data analysis skills and the ability to summarize findings in a written report
Familiarity using a container platform such as Docker or Singularity

Background using a GPU-enabled deep learning framework such as TensorFlow, PyTorch, MXNet, or TensorRT
Experience using GPU-enabled HPC applications such as LAMMPS, GROMACS, Amber, RTM, etc…
Background with GPU/CPU benchmarking on cloud solutions from AWS, GCP, Azure
GPU programming experience in CUDA, OpenACC, or OpenCL
Familiarity with software compilers such as GNU, Intel Composer, or PGI
Previous experience with a computer cluster

Senior Performance Engineer, Deep Learning – GPU | 3+ Yrs | USA