AI Engineering Graduate Talent Trainee

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.

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Skills

Candidate Availability

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

About the Role

Develop large-scale AI cloud, Kubernetes, model training and inference, AI agent, and advanced AI systems, with opportunities to rotate across engineering roles based on assessment and business needs.

Requirements

  • Fresh graduate with a Bachelor's, Master's, or PhD, or up to 2 years of related experience
  • Programming ability in Go, Python, C++, Java, Rust, or related technologies
  • Experience with cloud-native technologies such as Kubernetes, Docker, Helm, Terraform, OpenStack, Prometheus, Grafana, Argo, Istio, PostgreSQL, Redis, message queues, or distributed storage preferred
  • Experience developing or operating cloud, Kubernetes, AI training, inference, or agent platforms preferred
  • Achievements in academics, engineering projects, publications, open-source contributions, or programming competitions

Responsibilities

  • Develop large-scale AI cloud services
  • Develop managed Kubernetes services with GPU-native orchestration
  • Build distributed training, fine-tuning, deployment, inference, and model-serving platforms
  • Develop enterprise AI agent platforms and runtime infrastructure
  • Develop GPU scheduling, distributed systems, networking, MLOps, LLMOps, and automated operations systems
  • Rotate across different engineering roles in the program

Benefits

  • Inclusive and diverse workplace
  • Opportunity to network with industry pioneers
  • Direct contribution to digital asset and AI infrastructure projects
  • Personal accountability, autonomy, fast growth, and learning opportunities
  • Training and mentoring
  • Welfare and developmental benefits