About the Role

We are seeking Principal / Senior Engineers to drive innovation in high-efficiency AI computing. In this role, you will bridge algorithms and hardware design, advancing low-precision and sparse computing to improve the performance and energy efficiency of next-generation AI accelerators.

What You’ll Do

• Research and develop advanced quantization techniques for low-precision computing
• Design and optimize high-performance kernels (e.g., GEMM, FlashAttention)
• Collaborate on hardware–software co-design to improve system performance and efficiency
• Partner with IC design teams on specifications, benchmarking, and patent development

Minimum Qualifications

• Ph.D. in Computer Science, Electronic Engineering, or related field
• Strong knowledge of GPU/NPU architecture
• Expertise in low-precision quantization and sparsity

Preferred Qualifications

• Experience with LLM or multimodal model inference optimization
• Hands-on kernel development experience
• Background in AI accelerator system design
• Publications in top conferences (e.g., ISCA, MICRO, HPCA, ASPLOS, NeurIPS, CVPR)
• Strong cross-team collaboration skills