Senior AI Scheduling & GPU Orchestration Engineer

Bitdeer (NASDAQ: BTDR); San Jose (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Bitdeer, a world-leading AI and Bitcoin mining infrastructure company, seeks a Staff AI Scheduling & Orchestration Engineer to define our NeoCloud workload placement. You will tackle GPU stranding, optimize utilization, and drive a high-performance scheduling fabric across large compute fleets.

Responsibilities include designing advanced batch schedulers, managing admission control, and leveraging Volcano/YuniKorn/Kueue to support multi-node scheduling.

Qualifications

• 6+ years of distributed systems engineering.
• Deep hands-on expertise in Kubernetes scheduling frameworks.
• Experience with AI workload execution patterns and distributed training.
• Proven track record in HPC or large-scale production cloud environments.
• Strong knowledge of GPU hardware architectures and scheduling challenges.
• Experience with infrastructure-as-code (Terraform, Go-based Operators).

Responsibilities

• Design and implement advanced batch scheduling architectures for multi-node gang scheduling.
• Develop and manage cluster-wide admission control and queueing mechanisms.
• Utilize DRA and custom scheduler plugins for complex accelerator requests.
• Architect topology-aware pod placement for NVLink/InfiniBand fabrics.
• Implement automated GPU sharing and multi-tenancy isolation policies.
• Collaborate with GPU Systems and Storage teams to integrate with bare-metal hardware.

Skills

Kubernetes scheduling

Distributed systems

AI workloads

Terraform

Go operators

GPU architectures

Education

Bachelor's or Master's in CS/EE

Tools

Volcano

YuniKorn

Kueue

DRA

Job description

Bitdeer, a world-leading AI and Bitcoin mining infrastructure company, seeks a Staff AI Scheduling & Orchestration Engineer to define our NeoCloud workload placement. You will tackle GPU stranding, optimize utilization, and drive a high-performance scheduling fabric across large compute fleets.

Responsibilities include designing advanced batch schedulers, managing admission control, and leveraging Volcano/YuniKorn/Kueue to support multi-node scheduling.