Senior GPU Supercomputer Scheduler Engineer

Company	NVIDIA
Location	Austin, TX, USA, Santa Clara, CA, USA, Durham, NC, USA, Westford, MA, USA
Salary	$148000 – $287500
Type	Full-Time
Degrees	Bachelor’s
Experience Level	Senior

Bachelor’s degree in Computer Science, Electrical Engineering or related field or equivalent experience
5+ years of work experience
Strong understanding of HPC batch schedulers, such as Slurm or LSF and HPC workflows that use MPI
Significant experience in Programming in C/C++ and advanced scripting in languages such as Python, Go, bash scripting
Established experience in Linux operating system, environment and tools
Accomplished in computer architecture and operating systems
Experience analyzing and tuning performance for a variety of HPC workloads
In-depth understanding of container technologies like Docker, Singularity, Podman
Flexibility/adaptability for working in a dynamic environment with different frameworks and requirements
Excellent communication, interpersonal and customer collaboration skills

Design and develop enhancements to the HPC batch scheduler(s)
Work extensively with HPC scheduler vendor on bug fixes and feature releases
Provide support to staff and end users to resolve batch scheduler issues
Build and improve our ecosystem around GPU-accelerated computing
Performance analysis and optimizations of deep learning workflows
Develop large scale automation solutions
Root cause analysis and suggest corrective action for problems large and small scales
Finding and fixing problems before they occur