Systems/Network Engineer – High-Performance Compute GPU Infrastructure
5 hours ago
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.
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