BitOoda | Systems/Network Engineer – High-Performance Compute GPU Infrastructure
2 days ago
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.
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