Senior GPU Systems & Fabric Engineer (AI)

Location: Remote within San Jose, US or Austin, TX

Company

hirify.global provides Bitcoin mining solutions and AI computational infrastructure, including data center, bare-metal, and cloud capabilities.

What you will do

• Architect and maintain NVIDIA and AMD GPU device plugin and Kubernetes Operator integrations.
• Configure and optimize RDMA, SR-IOV, RoCEv2, and InfiniBand networking for distributed AI training.
• Build automated DCGM-based remediation pipelines to detect, isolate, and reset degraded GPU and NIC components.
• Implement GPU slicing with MIG and vGPU for multi-tenant inference workloads.
• Tune kernel parameters, device drivers, CUDA, and NCCL to optimize containerized AI workloads.
• Collaborate with scheduling and storage teams on topology-aware placement, data movement, hardware standards, and complex performance investigations.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
• 5+ years of systems engineering experience with strong proficiency in Linux kernel internals, C, or Go.
• Hands-on experience with NVIDIA H100/A100 GPU architectures, CUDA runtimes, RDMA, and InfiniBand.
• Deep understanding of containerized environments and Kubernetes device plugin architecture.
• Experience operating, debugging, and scaling bare-metal systems in large-scale production or HPC environments.
• Familiarity with Terraform, Ansible, and CI/CD infrastructure automation.

Nice to have

• Experience in high-velocity, high-growth engineering environments.

Culture & Benefits

• Full-time employment.
• Collaborative work across infrastructure, scheduling, storage, and reliability engineering teams.
• Opportunities to mentor team members and establish documentation standards for an evolving AI hardware stack.