Research Scientist / Research Engineer, Inference Systems

Bitdeer is a world-leading technology company for Bitcoin mining and AI cloud.
Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers. Apart from designing industry-leading ASIC chips and manufacturing mining rigs, the Group handles complex processes involved in computing across the value chain. This includes equipment procurement, transport logistics, datacenter design and construction, equipment management, and network and facility operations. Bitdeer also offers advanced cloud capabilities to customers with a high demand for artificial intelligence.
Headquartered in Singapore, Bitdeer operates globally with a diversified 3 GW energy portfolio, and deploys Bitcoin mining and HPC datacenters in the United States, Bhutan, Norway, Canada, Malaysia, and Ethiopia.

Bitdeer AI Lab is a frontier AI lab under Bitdeer, a global-leading computing power solutions provider. Guided by long-termism, we are committed to exploring the frontiers of artificial intelligence with the ambition, courage, and determination to build technologies that can truly change the world.Our mission is to turn energy into intelligence that people can actually afford to use. Inference is where that happens: every product built on a model is bounded by what it costs to run, so the economics of serving decide what gets built at all. We work on this from the ground up, from the power and datacenters we own to the software that turns them into tokens — and we continue to invest in and expand the infrastructure behind it.

• Inference systems are being rebuilt quickly. Agentic workloads are changing what traffic looks like, and serving architectures are being redesigned around disaggregation, tiered caching and large MoE models. Many of these ideas look strong on paper; far fewer hold up on a real fleet.
• This role is both research-heavy and implementation-heavy. You will follow the frontier of inference systems research, decide what matters for our workloads, and build it into our serving stack as measured, system-level improvements, designing new approaches where existing ones fall short. We expect results strong enough to ship and to publish.
• Your work is driven by the Lab's research agenda, in close collaboration with the AI Cloud platform team who own the production serving stack. Depending on background, the role can be filled as a Research Scientist or a Research Engineer; both are expected to do research and to write the code that ships it.

• Master's or PhD in Computer Science, Electrical Engineering, or a related field; Bachelor's candidates with an exceptional track record are also considered.
• Strong understanding of LLM inference and serving systems, with hands-on experience in at least one inference engine such as vLLM or SGLang.
• A track record of both research and implementation: new ideas, and the systems work that made them real.
• Strong Python and C++.
• Ability to define your own measurement before optimizing, and to state honestly what a number does and does not prove.
• Preferred: distributed serving experience, publications at top systems venues, or substantial open-source contributions to inference projects.

• A culture that values authenticity and diversity of thoughts and backgrounds;
• An inclusive and respectable environment with open workspaces and exciting start-up spirit;
• Fast-growing company with the chance to network with industrial pioneers and enthusiasts;
• Ability to contribute directly and make an impact on the future of the digital asset industry;
• Involvement in new projects, developing processes/systems;
• Personal accountability, autonomy, fast growth, and learning opportunities;
• Attractive welfare benefits and developmental opportunities such as training and mentoring.