Lead AI Scheduling & Orchestration Engineer

Bitdeer (NASDAQ: BTDR); Austin (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Bitdeer is seeking a Staff AI Scheduling & Orchestration Engineer to lead workload placement for our AI-native NeoCloud platform. Design scheduling fabrics that handle multi-node AI training and inference, navigating NVLink topologies and InfiniBand interconnects.

You will work at the intersection of distributed systems and AI, mentoring engineers and driving scalable, low-latency resource management across large compute fleets.

Qualifications

• Bachelor's or Master's in Computer Science, Electrical Engineering, or related field.
• 6+ years in distributed systems engineering with Kubernetes scheduling frameworks.
• 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 hardware architectures and scheduling challenges for distributed AI training and inference.
• Experience with infrastructure automation and infrastructure-as-code (e.g., Terraform, Go-based Operators).
• Excellent technical communication and leadership skills; ability to influence cross-functional teams.
• Ability to work in a high-velocity engineering environment and translate complex requirements into scalable solutions.

Responsibilities

• Design and implement advanced batch scheduling architectures using Volcano or YuniKorn for multi-node gang scheduling.
• Develop and manage cluster-wide admission control and job queueing mechanisms using Kueue.
• Leverage Kubernetes Dynamic Resource Allocation (DRA) and custom scheduler plugins for complex accelerator requests.
• Architect topology-aware pod placement to optimize NVLink and InfiniBand fabrics.
• Implement automated GPU sharing technologies and multi-tenancy isolation for max cluster utilization.
• Collaborate with GPU Systems and Storage teams to ensure tight integration with hardware and I/O patterns.
• Drive reliability and scalability of scheduling stack, resolving contention and deadlocks in 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

Technical communication

Education

Bachelor's or Master's in CS/EE

Tools

Volcano

YuniKorn

Kueue

DRA (Dynamic Resource Allocation)

Kubernetes

Job description

Bitdeer is seeking a Staff AI Scheduling & Orchestration Engineer to lead workload placement for our AI-native NeoCloud platform. Design scheduling fabrics that handle multi-node AI training and inference, navigating NVLink topologies and InfiniBand interconnects.

You will work at the intersection of distributed systems and AI, mentoring engineers and driving scalable, low-latency resource management across large compute fleets.