Senior AI Scheduling & Orchestration Engineer

Location: Singapore, SG

Company

hirify.global is a technology company focused on Bitcoin mining, AI cloud, ASIC manufacturing, datacenter operations, and high-performance computing infrastructure.

What you will do

• Design and implement batch scheduling architectures with Volcano or YuniKorn for multi-node gang scheduling.
• Develop cluster-wide admission control and job queueing with Kueue for high-volume AI workloads.
• Use Kubernetes Dynamic Resource Allocation and custom scheduler plugins for accelerator requests.
• Build topology-aware pod placement strategies for NVLink and InfiniBand environments.
• Implement GPU sharing with MIG and time-slicing, alongside multi-tenancy isolation policies.
• Improve scheduling reliability and scalability, resolve resource contention and deadlocks, and collaborate with GPU Systems and Storage teams.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
• 6+ years of distributed systems engineering experience with hands-on expertise in Kubernetes scheduling frameworks and orchestrators.
• Experience with AI workload execution and distributed training frameworks such as PyTorch Distributed, Ray, or MPI.
• Experience 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 and inference.
• Experience with infrastructure automation and infrastructure-as-code, including Terraform or Go-based Operators, plus technical leadership and communication skills.

Culture & Benefits

• Inclusive environment valuing authenticity and diverse perspectives.
• Startup-oriented culture within a fast-growing company.
• Opportunities to contribute to new projects and digital asset industry infrastructure.
• Autonomy, personal accountability, professional growth, training, and mentoring.
• Welfare benefits and developmental opportunities.