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AI Engineering

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AI Engineering in USA

  • BitDeer Technologies Group
  • Full time
  • Email
  • Remote

Responsibilities

  • Develop large-scale, highly available AI cloud services, including GPU virtual machines, bare-metal services, container services, networking, storage, billing, monitoring, security, and multi-region resource management.
  • Build managed Kubernetes services with GPU-native orchestration, intelligent scheduling, distributed workload management, cluster lifecycle management, observability, and resource isolation.
  • Develop distributed training, model fine-tuning, model deployment, inference acceleration, serverless inference, model APIs, evaluation systems, and model-serving capabilities.
  • Build 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.
  • Work on GPU scheduling, distributed systems, high-performance networking, cloud-native infrastructure, MLOps and LLMOps platforms, AI application marketplaces, and automated operations systems.
  • Join Cloud Platform Engineering, AI Operations/MLOps/Site Reliability Engineering, MaaS and model-serving infrastructure, AI Agent and Application Engineering, AI and Cloud Security Engineering, or AI Research based on assessment and business needs.

Requirements

  • Be a 2027 fresh graduate with a bachelor’s, master’s, or PhD degree, or have up to two years of related work experience.
  • Demonstrate strong programming ability in one or more of Go, Python, C++, Java, Rust, or related technologies.
  • 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.
  • Show enthusiasm for AI infrastructure, cloud-native technologies, and globally distributed systems.
  • Demonstrate achievements in academics, engineering projects, publications, open-source contributions, or programming and algorithm competitions.
  • Bring ownership, engineering discipline, and a commitment to making an early-career impact.

Benefits

  • Opportunities to rotate across different roles as part of career development.
  • Inclusive and respectful workplace with open workspaces and an energetic startup environment.
  • Networking opportunities with industry pioneers and enthusiasts.
  • Direct contribution to projects in the digital asset and AI computing industry.
  • Involvement in new projects and process or system development.
  • Personal accountability, autonomy, rapid growth, and learning opportunities.
  • Training, mentoring, and other development benefits.

BitDeer Technologies Group

Bitdeer Technologies Group (NASDAQ: BTDR) builds and operates Bitcoin‑mining infrastructure and AI/HPC cloud services for miners and enterprise compute customers. The Singapore‑headquartered public company, founded in 2021, designs ASIC chips and manufactures mining rigs, and runs data centers ac...

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