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HPC Specialist Solutions Architect

1 day, 17 hours ago
United States, Canada
Full-time
Senior
Infrastructure Engineer
DevOps and Infrastructure
Ansible Bash CI/CD CRI-O Docker GitOps Grafana Helm Kubeflow Kubernetes Linux Machine Learning MLflow Prometheus Python PyTorch Terraform
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Nebius

Nebius

Nebius enables B2B companies to build local hyperscaling cloud platforms with cost-effective GPUs, InfiniBand network, and 50% less compute cost. They offer managed Kubernetes and a launch-ready business model for innovative cloud solutions.

Internet Software & Services
51-250
View All Jobs 182

Description

  • Architect and implement scalable HPC clusters for AI, simulation, and distributed training using orchestration frameworks and schedulers such as Kubernetes and Slurm.
  • Design and integrate GPU-accelerated infrastructure using NVIDIA Hopper and Blackwell architectures, NVLink/NVSwitch, and InfiniBand/RoCE interconnects.
  • Deploy and manage GPU Operator and Network Operator stacks for automated lifecycle management.
  • Design and validate cloud HPC environments with low-latency networking, multi-GPU scaling, and efficient workload scheduling.
  • Lead reference architectures for AI/ML model training, data pipelines, and MLOps integrations.
  • Collaborate with hardware vendors and cloud providers to evaluate and optimize HPC and GPU technologies.
  • Benchmark system performance, identify bottlenecks, and tune utilization across compute, network, and storage layers.
  • Provide technical guidance to customers, internal teams, and partners on HPC architecture, operational reviews, and customer engagements.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field; Ph.D. is a plus.
  • 3+ years of hands-on experience architecting HPC or large-scale GPU clusters.
  • Expertise in Linux systems, Kubernetes, container runtimes such as containers, CRI-O, and Docker, and related CI/CD practices.
  • Strong understanding of HPC networking protocols and RDMA stacks, including InfiniBand and NVLink/NVSwitch.
  • Deep understanding of storage and I/O optimization for large datasets, including Ceph, Lustre, NFS, and GPUDirect Storage.
  • Familiarity with Terraform, Ansible, Helm, and GitOps workflows.
  • Strong scripting skills in Python or Bash for automation and tool integration.
  • Excellent communication and documentation skills, with the ability to lead design reviews and customer engagements.
  • Proficiency with the NVIDIA GPU ecosystem, including GPU Operator, MIG, DCGM, NCCL, Nsight, and CUDA stack management, is an added bonus.
  • Experience designing or managing AI/ML pipelines with tools such as MLflow, Kubeflow, or NeMo is a plus.
  • Experience with cloud-native HPC offerings such as Slurm, LFS, and PBS is preferred.
  • Background in designing multi-tenant GPU infrastructures or AI training farms is a plus.
  • Exposure to distributed ML frameworks such as PyTorch DDP, DeepSpeed, and Megatron is preferred.
  • Knowledge of HPC observability tools such as Prometheus, DCGM Exporter, Grafana, and NVIDIA NGC monitoring tools is a plus.
  • Contribution to open-source HPC, CUDA, or Kubernetes projects is a strong plus.

Benefits

  • 100% company-paid medical, dental, and vision coverage for employees and families.
  • Up to 4% company match in the 401(k) plan with immediate vesting.
  • 20 weeks of paid parental leave for primary caregivers and 12 weeks for secondary caregivers.
  • Up to $85 per month in remote work reimbursement for mobile and internet expenses.
  • Company-paid short-term, long-term, and life insurance coverage.
  • Competitive salary of $225k–$315k OTE, plus equity based on experience, skills, and location.
  • Flexible working arrangements, including remote work from the United States or Canada.
  • Opportunities for professional growth within Nebius.

Interested in this position?

Apply directly on the company website

Apply Now

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