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Bitdeer Group works across blockchain and high-performance computing, with a focus on cryptocurrency mining infrastructure and hash rate services. The company supplies mining capacity and offers hash rate sharing products, alongside computing services that include cloud and AI capabilities. Its operations include mining datacenters in the United States, Norway, and Bhutan, supporting its work as a provider of computing resources.
AI Engineer, New Graduate
Build and scale AI cloud infrastructure, GPU and Kubernetes services, model-serving systems, and AI Agent platforms. Contribute across Bitdeer AI’s full-stack infrastructure for global AI workloads.
Сипаттама
- Build and operate highly available AI cloud services across compute, networking, storage, billing, monitoring, security, and multi-region resource management.
- Create managed Kubernetes services for GPU workloads, including intelligent scheduling, distributed workload management, cluster lifecycle, observability, and resource isolation.
- Build systems for distributed training, model fine-tuning and deployment, inference acceleration, serverless inference, model APIs, evaluation, and production LLM and multimodal serving.
- Develop enterprise AI Agent platforms covering Agent creation, workflow orchestration, tool integration, retrieval-augmented generation, memory, sandbox execution, multi-Agent collaboration, evaluation, observability, security, and runtime infrastructure.
- Advance GPU scheduling, distributed systems, high-performance networking, cloud-native infrastructure, MLOps and LLMOps platforms, AI application marketplaces, and automated operations for large-scale AI infrastructure.
- Begin in a technical area selected based on interview assessment and business needs.
- Rotate through roles as part of career development.
Талаптар
- Recent graduates with a bachelor’s, master’s, or doctoral degree in any discipline, or candidates with up to two years of related work experience.
- Strong programming skills in one or more languages such as Go, Python, C++, Java, or Rust.
- 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 developing or operating large-scale cloud, Kubernetes, AI training, inference, or Agent platforms is highly preferred.
- Strong interest in advanced AI infrastructure, cloud-native technologies, and building large-scale globally distributed systems.
- Demonstrated achievements in academics, engineering projects, leading publications, open-source contributions, or programming and algorithm competitions.
- Strong sense of ownership and disciplined engineering practices.
- Motivation to make a meaningful contribution early in your career.
Артықшылықтар
- Opportunities to rotate through roles as part of career development.
- A culture that values authenticity and diverse perspectives.
- An inclusive, respectful workplace with open workspaces and an energetic startup atmosphere.
- Opportunities to connect with industry pioneers and enthusiasts.
- The chance to contribute directly to the future of digital asset and AI computing.
- Participation in new projects and the development of processes and systems.
- Personal accountability, autonomy, fast growth, and learning opportunities.
- Training and mentorship.
- Equal employment opportunities.
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