Bitdeer Group
Bitdeer Group
Bitdeer Group activează în domeniul blockchain și al calculului de înaltă performanță, concentrându-se pe infrastructura pentru minarea criptomonedelor și pe serviciile de rată de hash. Compania furnizează capacitate de minare și oferă produse de partajare a ratei de hash, alături de servicii de calcul care includ capabilități cloud și AI. Operațiunile sale includ centre de date pentru minare în Statele Unite, Norvegia și Bhutan, susținându-i activitatea de furnizor de resurse de calcul.

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.

Descriere

  • 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.

Cerințe

  • 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.

Beneficii

  • 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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