As a New College Graduate at Bitdeer AI, you will develop large-scale AI cloud services and contribute to cutting-edge AI infrastructure and platforms.
The Solutions Engineer will act as a key technical partner to Sales and Business Development, leading technical discovery and creating tailored solutions for Model Studio clients.
In this role, you will monitor GPU cluster health, respond to incidents, and provide critical data to enhance automation in a cutting-edge AI-operated GPU cloud environment.
The Operations Analyst will support daily operations of global data centers by monitoring performance, analyzing data, and ensuring efficient mining equipment functionality.
This role leads the product strategy and development for an AI cloud infrastructure platform, focusing on GPU cloud computing and AI training capabilities.
Contribute as an entry-level Software Engineer on the SRE / Monitoring Platform team, focusing on building and operating a GPU rental fleet's observability and monitoring systems.
As an AI Storage Solutions Expert, you will deploy and operate high-performance storage systems for AI workloads, ensuring optimal performance and reliability in a cutting-edge GPU cloud environment.
You will own the IP/Ethernet infrastructure connecting our AI-operated GPU cloud across multiple data centers, driving automation and network stability.
Design, deploy, and operate the control plane for an AI-operated GPU cloud, ensuring automated remediation and efficient management of Kubernetes clusters optimized for GPU workloads.
You will own the quality gate for regression, compatibility, acceptance, and release validation, ensuring fast platform shipping without compromising on quality.
The Cloud Storage Integration Engineer will design and integrate distributed file systems into the GPU cloud, ensuring high performance and reliability for AI training and inference.
Design and operate a multi-tenant SDN for a large-scale GPU cloud, ensuring high-performance interconnects and secure network isolation for distributed AI training.
You will design and build control-plane services for a global, multi-region platform, focusing on tenant management, billing, and automation to enhance scalability.
Own the full lifecycle of bare-metal GPU nodes: provisioning, delivery / onboarding, in-service operation, break-fix, and decommissioning across multiple regions.
As a Sr SRE & Automation Engineer, you will ensure the reliability of a customer-facing AI-operated GPU cloud service, managing everything from tenant onboarding to incident response.
The Senior Power Consultant will manage power procurement, demand response strategies, and regulatory compliance to optimize energy costs for Bitcoin mining operations.
Own the design and operation of Slurm clusters, ensuring reliability and efficiency in GPU scheduling while engaging with enterprise customers.
Seeking a Staff Backend Engineer to re-architect the Model-as-a-Service system into a scalable, multi-tenant token service, ensuring high performance and reliability.
Lead the design and implementation of advanced scheduling architectures for AI workloads on the NeoCloud platform, optimizing resource utilization and performance.
The Staff AI Observability & Telemetry Engineer will architect the telemetry infrastructure for the AI-native NeoCloud platform, enabling real-time performance insights and operational efficiency.
As a Senior GPU Systems & Fabric Engineer, you will bridge GPU/network infrastructure with Kubernetes, creating a high-performance foundation for AI-native cloud computing.
As a Senior AI Storage Infrastructure Engineer, you will architect high-performance storage solutions to optimize data delivery for AI model training and inference in a distributed environment.
As a Principal Kubernetes Control Plane Engineer, you will architect the foundational control plane for the AI-native NeoCloud platform, ensuring high availability and seamless multi-cluster management.
As a Cloud Senior DevOps Engineer, you will optimize and manage cloud-native infrastructure, ensuring high availability and seamless deployment of AI-powered products.
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