BitOoda | Systems/Network Engineer – High-Performance Compute GPU Infrastructure | india
1 day ago
Key Responsibilities:System OptimizationConfigure 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 ManagementDeploy 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.NetworkingDesign 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 SolutionsManage and configure storage solutions such as NVMe, SSD arrays, Ceph, or Lustre for high-throughput workloads.AutomationAutomate system deployment, updates, and monitoring using tools like Ansible, Terraform, or Python scripts.SecurityImplement secure access controls, firewalls, and VPNs to protect GPU resources and user data.Ensure compliance with security best practices for HPC environments.Hybrid/Cloud IntegrationManage 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 InfrastructureWork 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 QualificationsTechnical SkillsStrong 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 SkillsStrong analytical and problem-solving skills.Ability to work independently and as part of a remote team.Excellent communication skills for cross-team collaboration.Preferred QualificationsExperience 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 OfferCompetitive 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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Delhi, India BitOoda Full timeRole OverviewAs 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...
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