Senior AI Scheduling & Orchestration Engineer

Bitdeer Technologies Group; Austin (TX); On-site; USD 180,000 - 280,000; Full time

Job summary

Bitdeer Technologies Group is seeking a Staff AI Scheduling & Orchestration Engineer to optimize the allocation of GPU resources across large-scale AI workloads. You will design topology-aware placement, implement distributed scheduling stacks, and integrate with bare-metal hardware and high-performance storage systems.

The role requires extensive Kubernetes scheduling experience in HPC or cloud environments, plus deep knowledge of AI training/inference workflows and GPU architectures.

Qualifications

• 6+ years of distributed systems engineering with Kubernetes scheduling experience.
• Experience with AI workload execution patterns and distributed training (e.g., PyTorch Distributed, Ray, MPI).
• Proven ability to operate, debug, and scale scheduling stacks in HPC or large-scale production cloud environments.
• Strong knowledge of GPU hardware architectures and the scheduling challenges for distributed AI training and inference.

Responsibilities

• Design and implement advanced batch scheduling architectures using frameworks like Volcano or YuniKorn to support multi-node gang scheduling.
• Develop and manage cluster-wide admission control and sophisticated job queueing mechanisms utilizing Kueue to manage high-volume AI workload traffic.
• Leverage Kubernetes Dynamic Resource Allocation (DRA) and custom scheduler plugins to manage complex accelerator requests natively.
• Architect topology-aware pod placement strategies that optimize for low-latency communication via NVLink and InfiniBand fabrics.
• Implement automated GPU sharing technologies (e.g., MIG, time-slicing) and multi-tenancy isolation policies to maximize cluster-wide utilization.
• Collaborate with the GPU Systems and Storage teams to ensure the scheduling layer is tightly integrated with bare-metal hardware and storage I/O patterns.
• Drive the reliability and scalability of the scheduling stack, resolving resource contention and deadlock scenarios in large-scale HPC environments.
• Mentor junior engineers and conduct design reviews to maintain architectural excellence in our orchestration layer.

Skills

Distributed systems engineering

Technical communication

Leadership

Problem solving

Education

Bachelor’s or Master’s degree in Computer Science or Electrical Engineering

Tools

Volcano

YuniKorn

Kueue

Terraform

Job description

Bitdeer Technologies Group is seeking a Staff AI Scheduling & Orchestration Engineer to optimize the allocation of GPU resources across large-scale AI workloads. You will design topology-aware placement, implement distributed scheduling stacks, and integrate with bare-metal hardware and high-performance storage systems.

The role requires extensive Kubernetes scheduling experience in HPC or cloud environments, plus deep knowledge of AI training/inference workflows and GPU architectures.