Nvidia Senior GPU Supercomputer Scheduler Engineer 

United States, Texas 

571053391

As a member of the GPU/HPC Infrastructure team, you will provide leadership in the design and implementation of groundbreaking GPU compute clusters that run demanding deep learning, high performance computing, and computationally intensive workloads. We seek a technology leader to identify architectural changes and/or completely new approaches for improving HPC schedulers for serving many simultaneous and large multi-node GPU workloads with many complex dependencies. This role offers you an excellent opportunity to deliver production grade solutions, get hands on with ground-breaking technology, and work closely with technical leaders solving some of the biggest challenges in machine learning, cloud computing, and system co-design.

What you'll be doing:

• 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

What we need to see:

• Bachelor’s degree in Computer Science, Electrical Engineering or related field or equivalent experience with 5+ years of work experience

• Strong understanding of HPC batch schedulers, such as Slurm, RTDA 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

• Deep knowledge of Networking Protocols like InfiniBand, Ethernet

• Experience analyzing and tuning performance for a variety of HPC workloads

• In-depth understating of container technologies like Docker, Singularity, Podman

• Flexibility/adaptabilityfor working in a dynamic environment with different frameworks and requirements

• Excellent communication, interpersonal and customer collaboration skills

Ways to stand out from the crowd:

• Knowledge in MPI and High-performance computing

• Background in RDMA technology

• Experience in kernel programming

• Open Source Software Contributor

• Experience with deep learning frameworks like PyTorch and TensorFlow

• Passionate about SW development processes

• Want to make what was impossible possible!