AI Engineering Graduate Talent Trainee
Bitdeer Technologies Group is a technology company providing Bitcoin mining solutions, mining hardware, data-center infrastructure, and AI cloud services. It serves individual, institutional, and enterprise customers globally.
Funding history
Investors
Projects
About Bitdeer Technologies Group
Bitdeer provides vertically integrated Bitcoin mining and high-performance computing services. Its operations include mining equipment procurement and manufacturing, datacenter design and construction, equipment management, daily mining operations, cloud mining, and mining-related services. The company also offers AI cloud infrastructure and high-performance computing powered by NVIDIA GPUs for AI and machine-learning workloads, serving customers across global markets.
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