We are seeking2027 New College Graduates: Why Start Your Career at Bitdeer AI? We don't just look at the infrastructure layer, we build across the entire value chain for our full-stack cloud. At Bitdeer AI, you will architect the actual backbone of global artificial intelligence. From foundation-level hardware orchestration and low-latency Inference systems to upper-layer MaaS platforms and AI Agents environments, you will solve high-scale systems challenges that few companies on Earth have the power capacity to attempt.
Your work will directly power the global AI ecosystem, from ambitious startups and elite research institutions to global enterprises.
Artificial intelligence is reshaping human potential, but the future of AI relies on real-world compute, reliable infrastructure and engineering, and massive power.
Don't just witness the AI revolution. Power it. Join Bitdeer AI, and build the intelligence for infinite possibilities.
What you will be responsible forWe are looking for key talents to develop in the following areas:
- Cloud Service Platform: Development of large-scale, highly available AI cloud services, including GPU virtual machines, bare-metal services, container services, cloud networking, storage, billing, monitoring, security, and multi-region resource management.
- Kubernetes Service Platform: Development of managed Kubernetes services with GPU-native orchestration, intelligent scheduling, distributed workload management, cluster lifecycle management, observability, resource isolation, and support for large-scale AI training and inference workloads.
- AI Model Training and Inference Platform: Development of distributed training, model fine-tuning, model deployment, inference acceleration, serverless inference, model APIs, model evaluation, and production-grade LLM and multimodal model-serving capabilities.
- AI Agent Platform: Development of enterprise AI Agent platforms, including Agent building, workflow orchestration, tool integration, retrieval-augmented generation, memory systems, sandbox execution, multi-Agent collaboration, evaluation, observability, security, and large-scale Agent runtime infrastructure.
- Advanced AI Systems: Development of GPU resource scheduling, distributed systems, high-performance networking, cloud-native infrastructure, MLOps and LLMOps platforms, AI application marketplaces, and automated operation systems for large-scale AI infrastructure.
Career Opportunities within the Program:
- Cloud Platform Engineering
- AI Operations, MLOps & Site Reliability Engineering
- MaaS, Model Serving & AI Training Infrastructure
- AI Agent & Application Engineering
- AI & Cloud Security Engineering
- AI Research
Successful candidates will start in one of the above areas based on the interview assessment and business needs. Opportunities to rotate across different roles will also be provided as part of career development.
How you will stand out- Fresh graduates (Bachelors, Masters, PhD) from all disciplines and/or candidates with up to 2 years of related work experience.
- Strong programming ability in one or more languages, including 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 in developing or operating large-scale cloud platforms, Kubernetes platforms, AI training platforms, inference platforms, or Agent platforms is highly preferred.
- Deep enthusiasm for cutting-edge AI infrastructure, cloud-native technologies, and building large-scale, globally distributed systems.
- Proven achievements in academics, engineering projects, top-tier publications, open-source contributions, or programming/algorithm competitions.
- A strong ownership mentality, engineering discipline, and a commitment to creating a meaningful impact early in your career as we build the foundation for next-generation AI.
What you will experience working with us- A culture that values authenticity and diverse perspectives.
- An inclusive, respectful environment with open workspaces and an energetic, start-up spirit.
- A fast-growing company with opportunities to network with industry pioneers and enthusiasts.
- The ability to contribute directly and make an impact on the future of the digital asset and AI computing industry.
- Involvement in new projects and in developing processes/systems.
- Personal accountability, autonomy, rapid growth, and learning opportunities.
- Attractive benefits and development such as training and mentoring.
