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Systems/Network Engineer – High-Performance Compute GPU Infrastructure

1 month ago

Tiruppur, India BitOoda Full time

Role Overview

As a Systems/Network Engineer, you will be responsible for architecting, deploying, and maintaining GPU-based compute infrastructure. You will work on bare-metal systems, high-speed networks, and hybrid cloud integrations to ensure maximum performance, reliability, and scalability. This role is primarily remote but may occasionally require on-site support for hardware installations or emergency maintenance.


Key Responsibilities:

System Optimization

  • Configure and optimize bare-metal servers, including Linux OS, NVIDIA/AMD GPU drivers, and system libraries.
  • Fine-tune NUMA settings, CPU-GPU affinity, and storage I/O for peak performance.
  • Benchmark and tune HPC systems for specific workloads, ensuring sustained high performance.

GPU Cluster Management

  • Deploy and manage GPU clusters using job orchestration tools like Kubernetes, Slurm, or similar platforms.
  • Monitor GPU utilization, thermals, and overall system health using tools like NVIDIA DCGM, ROCm, and Prometheus/Grafana.

Networking

  • Design and maintain high-speed networking solutions (e.g., NVLink, InfiniBand, RDMA) for distributed GPU systems.
  • Optimize data transfer between nodes and reduce latency in cluster communication.

Storage Solutions

  • Manage and configure storage solutions such as NVMe, SSD arrays, Ceph, or Lustre for high-throughput workloads.

Automation

  • Automate system deployment, updates, and monitoring using tools like Ansible, Terraform, or Python scripts.

Security

  • Implement secure access controls, firewalls, and VPNs to protect GPU resources and user data.
  • Ensure compliance with security best practices for HPC environments.

Hybrid/Cloud Integration

  • Manage integrations between on-premise GPU clusters and cloud platforms (e.g., AWS, GCP, Azure).
  • Build and maintain hybrid HPC setups for seamless scalability.

Data Center Infrastructure

  • Work on power, cooling, and rack design for HPC setups, ensuring reliable and efficient operations.
  • Deploy and maintain systems in on-premise or hybrid cloud data center environments.



Required Qualifications

Technical Skills

  • Strong experience with Linux (CentOS, Ubuntu, RHEL) and system-level configuration.
  • Expertise in managing NVIDIA GPU ecosystems (CUDA, NVLink, NVIDIA drivers).
  • Familiarity with AMD ROCm, HIP, or OpenCL for AMD GPUs.
  • Knowledge of high-speed networking protocols (InfiniBand, RDMA, Ethernet).
  • Proficiency in scripting and automation (Python, Bash, Ansible, Terraform).
  • Experience with job orchestration tools like Kubernetes or Slurm.
  • Familiarity with containerization (Docker, NVIDIA Docker, Singularity).
  • Understanding of storage technologies, including NVMe and parallel file systems.

Soft Skills

  • Strong analytical and problem-solving skills.
  • Ability to work independently and as part of a remote team.
  • Excellent communication skills for cross-team collaboration.

Preferred Qualifications

  • Experience with hybrid cloud setups, including AWS Outposts, Azure Stack, or GCP Anthos.
  • Hands-on experience with hardware management tools like IPMI/BMC for remote server management.
  • Familiarity with emerging accelerators (e.g., SambaNova, Cerebras, Graphcore).


What We Offer

  • Competitive salary and benefits package.
  • Work with a talented and collaborative team of engineers.
  • Opportunities to work on cutting-edge GPU and HPC projects.
  • A flexible and dynamic startup environment where you can grow and innovate.
  • Opportunities for professional development and continuous learning.