Senior Engineer, Compute

About the role

The High-Performance Computing Compute Engineer is primarily responsible for the overall health and maintenance of the infrastructure that powers high-performance computing, artificial intelligence, machine learning, and large-scale data workloads in our managed services customer environments.

What you'll do

• Provide enterprise-level operational support to Managed Services customers for incident, problem, and change management activities
• Manage and maintain large-scale HPC and GPU compute clusters for AI training, inference, simulation, and data-intensive workloads
• Deploy and administer Linux-based compute environments, including operating systems, drivers, firmware, CUDA or equivalent accelerator software, libraries
• Operate workload scheduling and orchestration platforms such as Slurm, Kubernetes, Ray, or comparable technologies
• Benchmark and tune end-to-end workload performance

What you need

• 6–10 years in devops & cloud
• Linux
• Kubernetes
• Python
• Bash
• Terraform
• Networking
• B.Tech or B.E. or B.Sc or BCA

Good to have

• CI/CD
• Helm
• LLMs
• Learning and development
• PyTorch
• TensorFlow