AI Engineering – New College Graduate 2027
BitDeer Technologies Group4 days ago
Remote, United States or San Jose, CA, USAEntry Level
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.
Tech Stack
Argo CDC++DockerGoGrafanaHelmIstioJavaKubernetesOpenStackPostgreSQLPrometheusPythonRedisRustTerraform
Categories
About 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 across the United States, Bhutan, Norway, Canada, Malaysia, and Ethiopia with a diversified 3 GW energy portfolio.