AI Cloud Graduate Talent Trainee

About Bitdeer:

Bitdeer is a world-leading technology company for Bitcoin mining and AI cloud.
Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers. Apart from designing industry-leading ASIC chips and manufacturing mining rigs, the Group handles complex processes involved in computing across the value chain. This includes equipment procurement, transport logistics, datacenter design and construction, equipment management, and network and facility operations. Bitdeer also offers advanced cloud capabilities to customers with a high demand for artificial intelligence.
Headquartered in Singapore, Bitdeer operates globally with a diversified 3 GW energy portfolio, and deploys Bitcoin mining and HPC datacenters in the United States, Bhutan, Norway, Canada, Malaysia, and Ethiopia.

About AI Cloud:  

Bitdeer AI Cloud, a full-stack AI cloud platform under Bitdeer, a global-leading computing power solutions provider and NVIDIA Cloud Partner. We focus on two core missions: First, transforming advanced computing infrastructure into accessible, scalable, and reliable AI capabilities; second, building an integrated cloud platform that enables developers and enterprises to efficiently train, fine-tune, deploy, and operate the next generation of AI models and intelligent applications.

Our vision is to build the global infrastructure and software foundation for the AI era: connecting cutting-edge accelerated computing, cloud-native technologies, model services, and Agent systems through one unified platform, and transforming complex AI infrastructure into simple, reliable, and production-ready services.

Our AI cloud infrastructure is powered by the latest NVIDIA GPU architectures and supported by Bitdeer’s global data center capabilities. We have deployed and continue to expand AI computing infrastructure across Singapore, Malaysia, the United States, Europe, and other strategic global regions. Our platform provides comprehensive cloud capabilities covering GPU virtual machines, bare-metal services, container services, managed Kubernetes, distributed training, model inference, serverless model APIs, AI Studio, and AI Agent platforms.

We are committed to continuously investing in advanced NVIDIA GPUs, high-performance networking, distributed storage, liquid-cooling infrastructure, cloud software, and AI platform technologies to provide secure, scalable, high-performance, and enterprise-grade AI services for developers, startups, research institutions, and global enterprises

What you will be responsible for:

We are looking for key talents to develop in the following areas:

• Cloud Service Platform
  Development of large-scale, highly available AI cloud services, including GPU virtual machines, bare-metal services, container services, cloud networking, storage, billing, monitoring, security, and multi-region resource management
• Kubernetes Service Platform
  Development of managed Kubernetes services with GPU-native orchestration, intelligent scheduling, distributed workload management, cluster lifecycle management, observability, resource isolation, and support for large-scale AI training and inference workloads
  
• AI Model Training and Inference Platform
  Development of distributed training, model fine-tuning, model deployment, inference acceleration, serverless inference, model APIs, model evaluation, and production-grade LLM and multimodal model-serving capabilities
  
• AI Agent Platform
  Development of enterprise AI Agent platforms, including Agent building, workflow orchestration, tool integration, retrieval-augmented generation, memory systems, sandbox execution, multi-Agent collaboration, evaluation, observability, security, and large-scale Agent runtime infrastructure
  
• Advanced AI Systems
  Development of GPU resource scheduling, distributed systems, high-performance networking, cloud-native infrastructure, MLOps and LLMOps platforms, AI application marketplaces, and automated operation systems for large-scale AI infrastructure

How you will stand out:

• Fresh graduates (Bachelors, Masters, PhD) from all disciplines and/or candidates with up to 2 years of related work experience.
• Strong programming ability in one or more languages, including Go, Python, C++, Java, Rust, or related technologies
• Experience with Kubernetes, Docker, Helm, Terraform, OpenStack, Prometheus, Grafana, Argo, Istio, PostgreSQL, Redis, message queues, distributed storage, or other cloud-native technologies is highly preferred
• Experience in developing or operating large-scale cloud platforms, Kubernetes platforms, AI training platforms, inference platforms, or Agent platforms is highly preferred
• Deep enthusiasm for cutting-edge AI infrastructure, cloud-native technologies, and building large-scale, globally distributed systems.
• Proven achievements in academics, engineering projects, top-tier publications, open-source contributions, or programming/algorithm competitions.
• A strong ownership mentality, engineering discipline, and a commitment to creating a meaningful impact early in your career as we build the foundation for next-generation AI.

During the 18 months program, there will be opportunities to:

• Develop a global mindset, and collaborate with our colleagues from other regions.
• Develop a multitude of skill sets both business and technical skills.
• Rotate within your related business functions or cross-departments (subject to availability and business needs).
• Deepen your knowledge in this new and exciting industry, learn under the mentorship and guidance of our functional team leaders, to eventually become a key contributor to meaningful business projects.
• Interact with senior management teams and our alumni GTT network.

What you will experience working with us:

• A culture that values authenticity and diversity of thoughts and backgrounds;
• An inclusive and respectable environment with open workspaces and exciting start-up spirit;
• Fast-growing company with the chance to network with industrial pioneers and enthusiasts;
• Ability to contribute directly and make an impact on the future of the digital asset industry;
• Involvement in new projects, developing processes/systems;
• Personal accountability, autonomy, fast growth, and learning opportunities;
• Attractive welfare benefits and developmental opportunities such as training and mentoring.