Systems Engineer - Research & Development

Systems Engineer – Research & Development

5+ years of experience in large-scale Linux systems engineering in HPC, AI or distributed infrastructure roles
Extensive experience in Linux system installation, performance tuning, and troubleshooting
Expertise in troubleshooting distributed GPU workloads
Deep knowledge around GPU optimization and performance
Proficiency in Python scripting and automation frameworks
Familiarity with configuration management tools (e.g. Salt, Ansible, Puppet, Chef)
Comfortable diagnosing complex system issues at the hardware, OS, and network levels
Strong communication and organizational skills; able to collaborate across diverse technical teams
Thrive in fast-paced environments and excited by high-impact work

Design, build, and optimize large-scale Linux-based distributed compute clusters, including cutting-edge many-GPU systems
Identify and resolve performance bottlenecks across compute, storage, and networking layers
Collaborate with research and development teams to profile, benchmark, and fine-tune GPU-based workloads
Automate system deployment, monitoring, and troubleshooting across thousands of nodes
Collaborate with research, and engineering teams to support evolving workloads
Own critical infrastructure projects—from concept to implementation and support
Test and deploy new hardware and software, and partner with vendors to resolve complex issues