Member of Technical Staff, Kernel Engineering - Singapore
MindSource · Posted Nov 4, 2026
- Singapore, Singapore
- Full-time
GPU Kernel Engineer
Responsibilities
- Design, develop, and optimize high-performance GPU kernels for AI/ML workloads and LLM inference
- Work on low-level GPU programming using CUDA, Triton, CuTeDSL, or similar technologies
- Optimize memory utilization, parallel execution, thread scheduling, and computational efficiency
- Analyze GPU performance bottlenecks and improve execution speed through profiling and benchmarking
- Work with modern GPU architectures, including NVIDIA GPUs and emerging accelerator platforms
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
- Nice to have: machine learning workloads
- Nice to have: AI inference systems
- Nice to have: FlashAttention
- Nice to have: fused kernels