Senior AI Scheduling & HPC Orchestration Engineer

Bitdeer (NASDAQ: BTDR); Singapore; On-site; SGD 170,000 - 240,000; Full time

Job summary

Bitdeer, a Singapore-headquartered leader in Bitcoin mining and AI cloud, seeks a senior distributed systems engineer specializing in Kubernetes scheduling for multi-node, multi-accelerator environments. You will own the design and optimization of the cluster orchestration stack, aligning AI workloads with hardware accelerators and high-performance interconnects.

We require 6+ years in distributed systems, deep Kubernetes scheduling expertise, and a proven track record in HPC or large-scale

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
• Extensive experience with AI workload execution patterns and distributed training frameworks (e.g., PyTorch Distributed, Ray, MPI)
• Proven track record of operating, debugging, and scaling scheduling stacks in HPC or large-scale production cloud environments
• Strong knowledge of GPU architectures and scheduling challenges for distributed AI training/inference
• Experience with infrastructure automation and infrastructure-as-code (e.g., Terraform, Go-based Operators)
• Excellent technical communication and leadership skills; able to influence cross-functional teams

Responsibilities

• Design and implement advanced batch scheduling architectures for multi-node gang scheduling.
• Develop and manage cluster-wide admission control and job queueing mechanisms for high-volume AI workloads.
• Leverage Kubernetes DRA and custom scheduler plugins for complex accelerator requests.
• Architect topology-aware pod placement for low-latency communication (NVLink, InfiniBand).
• Implement automated GPU sharing and multi-tenancy isolation to maximize cluster utilization.
• Collaborate with GPU Systems and Storage teams to align scheduling with bare-metal hardware and I/O patterns.
• Drive reliability and scalability of the scheduling stack, resolve resource contention and deadlocks in large HPC environments.
• Mentor junior engineers and conduct design reviews to maintain architectural excellence.

Skills

Kubernetes scheduling

Distributed systems

AI workloads

PyTorch Distributed

Ray

MPI

Terraform

Go-based Operators

Leadership

Communication

Education

BS/MS in CS/EE

Tools

Volcano

YuniKorn

Kueue

Terraform

NVLink

InfiniBand

Job description

Bitdeer, a Singapore-headquartered leader in Bitcoin mining and AI cloud, seeks a senior distributed systems engineer specializing in Kubernetes scheduling for multi-node, multi-accelerator environments. You will own the design and optimization of the cluster orchestration stack, aligning AI workloads with hardware accelerators and high-performance interconnects.

We require 6+ years in distributed systems, deep Kubernetes scheduling expertise, and a proven track record in HPC or large-scale