Senior AI Scheduler Engineer — Kubernetes & AI Factory

Sourceo; Singapore; Presencial; SGD 120.000 - 190.000; Jornada completa

Descripción de la vacante

Firmus Technologies is building an AI Factory-driven Kubernetes-based workload orchestration platform designed to manage massive-scale GPU deployments with topology-aware placement and fault-domain awareness.

The Senior AI Engineer will design and operate the scheduler, integrating with Kubernetes and related tools to deliver reliable, policy-driven execution for training, inference, and benchmarking across NVLink/NVSwitch topologies.

Formación

• 5+ years of experience in DevOps, site reliability engineering, platform engineering, distributed systems, cloud infrastructure, or comparable software and systems-engineering roles.
• Deep practical expertise in Kubernetes architecture and operations, including control planes, scheduling, controllers, operators, CRDs, admission controllers, APIs, networking, storage, security, and multi-tenancy.

Responsabilidades

• Design, build, operate, and continuously improve the proprietary Kubernetes-native job scheduling platform for AI workloads.
• Develop scheduler architecture, custom resource definitions, Kubernetes controllers, admission webhooks, scheduling plugins, APIs, CLI tools, and automation required to support workload submission, placement, execution, monitoring, and recovery.
• Define and implement scheduling policies for training, fine-tuning, inference, benchmarking, batch, data-processing, and agentic workloads.
• Build topology-aware placement mechanisms that account for GPU locality, NVLink/NVSwitch domains, node topology, NUMA affinity, NIC placement, RDMA paths, network-fabric topology, storage locality, and fault-domain boundaries.
• Build AI-factory resource-aware scheduling mechanisms that account for cluster capacity, node health, fabric condition, storage performance, GPU availability, maintenance windows, software compatibility, capacity reservations, power limits, thermal conditions, and operational constraints.

Conocimientos

Kubernetes

Go

Python

GPU workloads

CI/CD

Observability

Security

Herramientas

Kubernetes controllers

CRDs

API design

Descripción del empleo

Firmus Technologies is building an AI Factory-driven Kubernetes-based workload orchestration platform designed to manage massive-scale GPU deployments with topology-aware placement and fault-domain awareness.

The Senior AI Engineer will design and operate the scheduler, integrating with Kubernetes and related tools to deliver reliable, policy-driven execution for training, inference, and benchmarking across NVLink/NVSwitch topologies.