Senior GPU Fabric Architect for AI Cloud Infra

Bitdeer (NASDAQ: BTDR); Austin (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Bitdeer seeks a Senior GPU Systems & Fabric Engineer to bridge physical GPU/network infrastructure with Kubernetes. You will design the hardware foundation for AI-native cloud, focusing on Linux kernel internals, GPU architectures, and high-speed interconnects to transform bare-metal resources into scalable, multi-tenant cloud primitives.

Responsibilities include integrating GPU device plugins with Kubernetes, optimizing RDMA/InfiniBand networks, and implementing MIG/vGPU slicing.

Qualifications

• Deep knowledge of Linux kernel internals and driver interfaces.
• Experience with GPU architectures and CUDA runtimes in production.
• Strong background in high-performance networking and multi-tenant systems.
• Proven ability to scale bare-metal systems in HPC environments.

Responsibilities

• Architect and maintain integrations for NVIDIA/AMD GPU device plugins and Kubernetes Operators to expose hardware capabilities to the control plane.
• Configure and optimize high-performance host networking stacks, including RDMA, SR-IOV, RoCEv2, and InfiniBand, ensuring line-rate throughput for distributed AI training.
• Build and manage automated hardware remediation pipelines using DCGM telemetry to proactively identify, isolate, and reset degraded GPU/NIC components before they impact production jobs.
• Implement and manage sophisticated GPU slicing technologies (MIG, vGPU) to enable efficient multi-tenant inference workloads and maximize cluster utilization.
• Profile and tune kernel-level parameters, device drivers, and runtime libraries (CUDA, NCCL) to resolve bottlenecks and optimize containerized AI workloads.
• Collaborate with the Scheduling and Storage engineering teams to ensure topology-aware placement and efficient data movement across the fabric.
• Define and enforce operational standards for bare-metal provisioning, BIOS/firmware updates, and OS hardening within the containerized environment.
• Lead technical investigations into complex performance issues spanning hardware, fabric, and software, providing actionable architectural insights.
• Mentor team members and drive documentation standards for our evolving AI hardware stack.

Skills

Linux kernel internals

C

Go

Kubernetes

NVIDIA H100/A100

CUDA

NCCL

RDMA/InfiniBand

Education

Bachelor’s degree in Computer Science or related field

Master’s degree preferred

Tools

Terraform

Ansible

CI/CD pipelines

Job description

Bitdeer seeks a Senior GPU Systems & Fabric Engineer to bridge physical GPU/network infrastructure with Kubernetes. You will design the hardware foundation for AI-native cloud, focusing on Linux kernel internals, GPU architectures, and high-speed interconnects to transform bare-metal resources into scalable, multi-tenant cloud primitives.

Responsibilities include integrating GPU device plugins with Kubernetes, optimizing RDMA/InfiniBand networks, and implementing MIG/vGPU slicing.