Description

You will develop and maintain Kubernetes integrations for Linux-based cluster management software, enabling customer deployment, management, and monitoring of GPU workloads.

This role is remote.

Responsibilities

• Develop Kubernetes operators to facilitate diverse workloads within Kubernetes clusters.
• Integrate NVIDIA components into Base Command Manager and ensure GPU utilization via Kubernetes or Slurm.
• Support the engineering team with deep-dive troubleshooting of Kubernetes-specific issues.
• Design and implement systems programming solutions for concurrent workloads.

Required Skills

• 7+ years of relevant systems programming experience.
• Fluency in C++ and/or Python.
• In-depth knowledge of Linux operating systems and Kubernetes architecture.
• Experience with concurrent programming techniques.
• Familiarity with high-speed interconnects (Infiniband, Spectrum X).
• Experience with parallel filesystems (Lustre, GPFS, BeeGFS, WekaIO).
• Experience utilizing hardware accelerators such as GPUs.

Preferred Skills

• Experience with high-performance computing (HPC) and system administration.
• Background with GoLang.

Key Skills

Education

Any Graduate