Senior Infrastructure Support Engineer (GPUs)

TL;DR

Senior Infrastructure Support Engineer (GPUs): Maintaining and optimizing high-performance GPU cloud infrastructure for AI workloads with an accent on Linux systems engineering, Kubernetes, and high-speed networking. Focus on resolving complex technical incidents, automating operational tasks, and improving system observability.

Location: Singapore (Onsite)

Company

Nscale is a GPU cloud engineered specifically for AI, providing cost-effective, high-performance infrastructure for AI start-ups and large enterprises.

What you will do

• Participate in the Support duty rotation, collaborating with Infrastructure, SRE, and Product Engineering on incidents and changes.
• Proactively improve dashboards, alerts, and runbooks to prevent repeat incidents.
• Manage and resolve technical tickets while keeping internal and external stakeholders informed.
• Design and implement automation scripts and tools to optimize operational processes.
• Conduct root cause analysis (RCA) for major incidents and recommend long-term architectural fixes.
• Respond to critical incidents during out-of-business hours as part of an on-call rotation.

Requirements

• Location: Must be based in Singapore with ability to provide onsite technical expertise.
• Expertise in Linux systems engineering at scale, including kernel modules and networking stack troubleshooting.
• Experience operating and troubleshooting Kubernetes (K8s) clusters.
• Practical experience with GPU platforms (NVIDIA/AMD), including drivers, nvidia-smi, and NCCL diagnostics.
• Strong networking fundamentals: L2/L3, BGP, VLANs, VXLAN, and high-performance fabrics (RDMA/NVLink).
• Proficiency in Bash, Python, or JavaScript, and infrastructure automation tools (Ansible, Terraform, Puppet, or Chef).

Nice to have

• Experience with automated network deployment and configuration in critical environments.
• Knowledge of GPU HPC concepts, including InfiniBand, MPI, and Pyxis/Enroot.
• Experience building CI/CD pipelines using GitOps tooling and GitHub Actions.

Culture & Benefits

• Culture of relentless innovation, ownership, and high accountability.
• Environment based on openness, transparency, and candid communication.
• Customer-centric focus with a commitment to delivering impactful AI solutions.
• Strong emphasis on sustainability and long-term environmental responsibility.
• Inclusive workplace with an equal opportunities statement for diverse backgrounds.