AI Engineering New College Graduate 2027

Bitdeer is a technology company providing Bitcoin mining solutions.

0 current maintainers0 active leadsTeam intelligence

Maintainer signals as of 9/25/2026

Singapore, SG
About Bitdeer

Bitdeer provides full-spectrum Bitcoin mining and high-performance computing solutions, including SEALMINER mining equipment, Minerbase cooling containers, cloud mining, co-mining, mining management applications, mining rights marketplaces, and large-scale data center operations. The company also offers AI cloud infrastructure with GPU computing, model training and deployment capabilities, and turnkey AI data center solutions for enterprise customers and developers. Bitdeer is headquartered in Singapore and operates globally.

View jobs by Bitdeer

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will develop scalable AI cloud, Kubernetes, model training and inference, AI agent, and advanced infrastructure platforms. You may work on GPU virtual machines, cloud networking, distributed workloads, model serving, orchestration, observability, security, and globally distributed AI systems.

Requirements

  • Be a fresh graduate or have up to 2 years of related work experience
  • Demonstrate programming ability in Go, Python, C++, Java, Rust, or related technologies
  • Have experience with cloud-native technologies such as Kubernetes, Docker, Helm, Terraform, OpenStack, Prometheus, Grafana, Argo, Istio, PostgreSQL, Redis, message queues, or distributed storage
  • Demonstrate enthusiasm for AI infrastructure, cloud-native technologies, and globally distributed systems
  • Show achievements in academics, engineering projects, publications, open-source contributions, or programming competitions

Responsibilities

  • Develop large-scale highly available AI cloud services
  • Develop managed Kubernetes services with GPU-native orchestration
  • Develop distributed training, model fine-tuning, deployment, and inference capabilities
  • Develop enterprise AI agent platforms and workflow orchestration
  • Develop GPU scheduling, distributed systems, cloud-native infrastructure, MLOps, and LLMOps platforms