Senior GPU Systems & Fabric Engineer

1 month ago

Singapore, SingaporeSenior

Responsibilities

Architect and maintain NVIDIA/AMD GPU device plugins and Kubernetes Operators for exposing hardware capabilities to the control plane.
Configure and optimize RDMA, SR-IOV, RoCEv2, and InfiniBand networking for distributed AI training.
Build automated DCGM-based remediation pipelines to identify, isolate, and reset degraded GPU and NIC components.
Implement MIG and vGPU slicing for efficient multi-tenant inference workloads.
Profile and tune kernel parameters, device drivers, and CUDA/NCCL runtime libraries for containerized AI workloads.
Collaborate with scheduling and storage teams on topology-aware placement and efficient data movement.
Define operational standards for bare-metal provisioning, BIOS and firmware updates, and OS hardening.
Lead investigations into performance issues across hardware, fabric, and software; provide architectural recommendations.
Mentor team members and drive documentation standards for the AI hardware stack.

Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
5+ years of systems engineering experience.
Strong proficiency with Linux kernel internals and 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 pipelines for hardware lifecycle management.
Strong problem-solving and communication skills with a collaborative approach across infrastructure, scheduling, and reliability teams.
Experience in high-velocity, high-growth engineering environments is strongly preferred.

Inclusive and diverse work environment with open workspaces and a start-up atmosphere.
Opportunity to contribute to digital asset and AI infrastructure projects and work with industry pioneers.
Personal accountability, autonomy, professional growth, and learning opportunities.
Training, mentoring, welfare benefits, and developmental opportunities.

201-500 employees