High-Performance Compute Engineer
23 hours ago
We are seeking a highly skilled High-Performance Compute Engineer to join our team at BitOoda. As a key member of our infrastructure team, you will be responsible for designing, deploying, and maintaining high-performance compute clusters utilizing GPU-based technology.
About the RoleThis is an exciting opportunity for a motivated engineer to work on cutting-edge projects, leveraging expertise in Linux, system configuration, and GPU ecosystem management. You will collaborate with cross-functional teams to ensure seamless scalability, reliability, and performance of our HPC environments.
Key Responsibilities- System Optimization
- Configure and fine-tune bare-metal servers, including Linux OS, NVIDIA/AMD GPU drivers, and system libraries 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 or Slurm.
- 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 for distributed GPU systems, optimizing data transfer between nodes and reducing 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.
- 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.
- A competitive salary range of $120,000 - $180,000 per annum, depending on experience.
- A dynamic startup environment where you can grow and innovate.
- Opportunities for professional development and continuous learning.
- A comprehensive benefits package, including medical, dental, and vision insurance.
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