Research Kernel Engineer
Bitdeer Technologies Group is a technology company providing Bitcoin mining solutions, mining hardware, data-center infrastructure, and AI cloud services. It serves individual, institutional, and enterprise customers globally.
Funding history
Investors
Projects
About Bitdeer Technologies Group
Bitdeer provides vertically integrated Bitcoin mining and high-performance computing services. Its operations include mining equipment procurement and manufacturing, datacenter design and construction, equipment management, daily mining operations, cloud mining, and mining-related services. The company also offers AI cloud infrastructure and high-performance computing powered by NVIDIA GPUs for AI and machine-learning workloads, serving customers across global markets.
Skills
About the Role
Write and optimize CUDA and Triton kernels for new AI efficiency methods, analyze performance across serving systems, productionize published methods, build measurement tools, and collaborate with the AI Cloud platform team to optimize inference on real hardware and traffic patterns.
Requirements
- Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, or a related field.
- Hands-on experience in GPU programming, high-performance computing, or ML systems.
- Proficiency in CUDA and/or Triton, with strong Python and C++.
- Knowledge of GPU architecture and memory hierarchy.
- Experience with Nsight Compute, Nsight Systems, or equivalent.
- Experience optimizing inference-critical paths.
- Ability to implement methods without reference implementations.
- Experience with vLLM, SGLang, or TensorRT-LLM preferred.
- Compiler or IR-level experience or distributed serving experience preferred.
- Publications or substantial open-source contributions are welcome.
Responsibilities
- Write and optimize CUDA and Triton kernels.
- Analyze performance across the serving path, including roofline analysis and kernel attribution.
- Productionize published AI efficiency methods.
- Build performance measurement systems.
- Collaborate with the AI Cloud platform team.
Benefits
- Welfare benefits
- Training and mentoring
- Inclusive and diverse work environment
- Personal accountability, autonomy, and growth opportunities
- Opportunities to contribute to new projects and systems