Senior GPU Fabric Engineer for AI Cloud Infrastructure

Bitdeer

San Jose (CA)

On-site

USD 140,000 - 210,000

Full time

7 days ago
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Job summary

Bitdeer seeks a Senior GPU Systems & Fabric Engineer to bridge hardware and the Kubernetes layer, building scalable, multi-tenant AI cloud primitives. You will optimize GPU/NIC hardware, fabric transport, and software stacks to support low-latency AI workloads.

You will design and implement device plugins, MIG/vGPU strategies, and transport networks, shaping the foundation for AI-native cloud computing across data centers.

Qualifications

  • 5+ years of systems engineering experience with Linux kernel internals, C, or Go.
  • Hands-on experience with GPU architectures (NVIDIA H100/A100), CUDA runtimes, and distributed networking (RDMA, InfiniBand).
  • Deep understanding of containerized environments and Kubernetes device plugin architecture.
  • Proven track record of operating, debugging, and scaling bare-metal systems in large-scale production or HPC environments.
  • Familiarity with infrastructure automation (Terraform, Ansible, CI/CD) for hardware lifecycles.
  • Strong problem-solving skills and excellent cross-team communication.

Responsibilities

  • Architect and maintain integrations for NVIDIA/AMD GPU device plugins and Kubernetes Operators.
  • Configure and optimize high-performance host networking stacks (RDMA, SR-IOV, RoCEv2, InfiniBand).
  • Build and manage automated hardware remediation pipelines using DCGM telemetry.
  • Implement and manage GPU slicing technologies (MIG, vGPU) for multi-tenant workloads.
  • Profile and tune kernel parameters, drivers, and CUDA/NCCL runtimes.
  • Collaborate on topology-aware placement and data movement across the fabric.
  • Define and enforce bare-metal provisioning and OS hardening standards.
  • Lead investigations into performance issues across hardware and software.
  • Mentor team members and drive documentation for AI hardware stack.

Skills

Linux kernel
C
Go
GPU architectures
CUDA
NCCL
Kubernetes
RDMA
InfiniBand
Device plugins
Terraform
Ansible
CI/CD
Problem solving
Communication

Education

Bachelors or Masters in CS/EE

Tools

CUDA
NCCL
RDMA
InfiniBand
Kubernetes
Terraform
Ansible
CI/CD pipelines

Job description

Bitdeer seeks a Senior GPU Systems & Fabric Engineer to bridge hardware and the Kubernetes layer, building scalable, multi-tenant AI cloud primitives. You will optimize GPU/NIC hardware, fabric transport, and software stacks to support low-latency AI workloads.

You will design and implement device plugins, MIG/vGPU strategies, and transport networks, shaping the foundation for AI-native cloud computing across data centers.

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