AI Scheduling & Orchestration Architect

Bitdeer Technologies Group; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Bitdeer Technologies Group is seeking a senior distributed systems engineer to lead the design and implementation of Kubernetes-based scheduling for large AI and HPC workloads. You will work across cross-functional teams to optimize multi-node scheduling, resource allocation, and performance at scale.

You will mentor engineers, influence architecture decisions, and ensure reliable operation of the scheduling stack in our world-leading crypto mining and AI cloud environment, with exposure to

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
• 6+ years of distributed systems engineering with Kubernetes scheduling experience.
• Deep hands-on expertise in Kubernetes scheduling frameworks and orchestrators.
• Experience with AI workload execution patterns and distributed training frameworks (PyTorch Distributed, Ray, MPI).
• Proven track record operating, debugging, and scaling scheduling stacks in HPC or large-scale production clouds.

Responsibilities

• Design and implement advanced batch scheduling architectures using Volcano or YuniKorn for multi-node gang scheduling.
• Develop cluster-wide admission control and job queueing with Kueue for high-volume AI workloads.
• Leverage Kubernetes DRA and custom scheduler plugins to manage complex accelerator requests.
• Architect topology-aware pod placement for low-latency via NVLink and InfiniBand.
• Implement automated GPU sharing (MIG, time-slicing) and multi-tenancy isolation.
• Collaborate with GPU Systems and Storage teams to integrate scheduling with bare-metal hardware and I/O patterns.
• Drive reliability and scalability of the scheduling stack, resolving contention and deadlocks.
• Mentor junior engineers and conduct design reviews to maintain architecture excellence.

Skills

Kubernetes scheduling

Distributed systems engineering

AI workload execution patterns

Leadership / mentorship

Technical communication

Education

Bachelor’s or Master’s degree in CS/EE or related

Tools

Volcano

YuniKorn

Kueue

PyTorch Distributed

Ray

MPI

Terraform

Job description

Bitdeer Technologies Group is seeking a senior distributed systems engineer to lead the design and implementation of Kubernetes-based scheduling for large AI and HPC workloads. You will work across cross-functional teams to optimize multi-node scheduling, resource allocation, and performance at scale.

You will mentor engineers, influence architecture decisions, and ensure reliable operation of the scheduling stack in our world-leading crypto mining and AI cloud environment, with exposure to