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Active1mo ago

Member of Technical Staff, Supercomputing Infrastructure

InferactΒ·πŸ“ Singapore

Employment

FULL TIME

Work mode

On-site

Experience

SENIOR LEVEL

Salary

S$200K – S$400K/yr

Role overview

Job description

Inferact's mission is to grow vLLM as the world's AI inference engine and accelerate AI progress by making inference cheaper and faster. Founded by the creators and core maintainers of vLLM, we sit at the intersection of models and hardwareβ€”a position that took years to build. About the Role We're looking for a hands-on supercomputing infrastructure engineer to own and operate the high-performance compute infrastructure that keeps Inferact engineering productive. Inferact runs on expensive, high-performance GPU and HPC clusters across neo-cloud and dedicated compute providers, on heterogeneous hardware that spans NVIDIA GPUs, AMD GPUs, and Google TPUs. Your job is to make sure that infrastructure is healthy, available, observable, and usable around the clock. You'll take ownership of cluster health, accelerator availability, monitoring, alerting, scheduling, access, diagnostics, and inci

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About this listing

  • Source: Inferact's official careers site (via Ashby) Β· last confirmed on the source 31 Oct 2026
  • Posted 24 Sept 2026

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Role market pulse

How Member of Technical Staff demand looks in Singapore

51/100 Β· steady

Live jobs

20

Posted 30d

7

30d movement

Early signal

Remote share

0%

Salary listed

35%

Salary trend 1Y

Not enough history

What they are looking for

Skills & requirements

Qualification

Bachelor's degree or equivalent experience in computer science, engineering, systems administration, or similar. Hands-on experience administering large compute clusters, HPC environments, university or research clusters, supercomputing systems, or production GPU clusters. Strong Linux systems administration fundamentals across networking, processes, storage, package management, shell scripting, logs, access control, and system debugging. Experience operating GPU servers, including driver management, GPU health monitoring, node failures, memory errors, scheduler issues, and hardware diagnostics. Experience with cluster scheduling and resource allocation using SLURM, Kubernetes, or equivalent tooling. Ability to own urgent infrastructure incidents end-to-end when compute issues are blocking engineering teams. Ability to automate operational workflows using Bash, Python, Ansible, Terraform, Helm, or similar tooling. Preferred

Department Β· Research & Engineering

Hiring company

Inferact

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