Staff AI Scheduling, Orchestration Engineer

🔥 0 minutes ago

🏄 California, Texas – Remote

🏄 California – Remote 🤠 Texas – Remote

⏰ Full Time

🔴 Lead

🤖 Artificial Intelligence

👻 Ghost score 10%

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Bitdeer Group

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

📦 Logistics

🏗️ Construction

💰 Post-IPO Equity on 2023-05

Consulting • Logistics • Construction

Bitdeer Group is a leader in the blockchain and high-performance computing industry. It is one of the world’s largest holders and suppliers of hash rate, offering specialized mining infrastructure and high-quality hash rate sharing products. Founded by cryptocurrency pioneer Jihan Wu and led by CEO Matt Linghui Kong, the company is headquartered in Singapore with mining datacenters in the United States, Norway, and Bhutan. Bitdeer is committed to providing comprehensive computing solutions, including cloud services and AI capabilities, while emphasizing dedication, authenticity, and trustworthiness in its mission to be the most reliable provider in the industry.

📋 Description

• 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 using Kueue • Leverage Kubernetes Dynamic Resource Allocation (DRA) and custom scheduler plugins to manage complex accelerator requests • Architect topology-aware pod placement strategies optimized for low-latency communication via NVLink and InfiniBand fabrics • Implement automated GPU sharing technologies, including MIG and time-slicing, and multi-tenancy isolation policies • Collaborate with GPU Systems and Storage teams to integrate scheduling with bare-metal hardware and storage I/O patterns • Drive 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 the orchestration layer

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field • 6+ years of distributed systems engineering experience • Deep, hands-on expertise in Kubernetes scheduling frameworks and orchestrators • Extensive experience with AI workload execution patterns and distributed training frameworks, such as PyTorch Distributed, Ray, and MPI • Proven track record of operating, debugging, and scaling scheduling stacks in high-performance computing (HPC) or large-scale production cloud environments • Strong knowledge of GPU hardware architectures and scheduling challenges related to distributed AI training and inference • Experience with infrastructure automation and infrastructure-as-code, such as Terraform and Go-based Operators • Excellent technical communication and leadership skills • Ability to influence cross-functional teams and align architectural goals • Ability to work in a high-velocity engineering environment and translate complex, ambiguous requirements into concrete, scalable engineering solutions