Principal/senior Engineers – High-efficiency Ai Computing

GK CONSULTING PTE. LTD.

Singapore, , Singapore
Sgd 12,000 - 17,500 / monthly pm
On-site
Low-precision quantization techniques
Gpu/npu architecture knowledge
Hardware–software co-design collaboration
GK CONSULTING PTE. LTD. is looking for Principal/Senior Engineers to innovate in high-efficiency AI computing, focusing on low-precision and sparse computing for AI accelerators. The position requires advanced knowledge in computer science or electronic engineering, with a strong emphasis on collaboration and development of advanced techniques

Job Summary

  • 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.
  • You will collaborate with IC design teams on specifications, benchmarking, and patent development.

Matching Summary

Match Score: 85

GK CONSULTING PTE. LTD. is looking for Principal/Senior Engineers to innovate in high-efficiency AI computing, focusing on low-precision and sparse computing for AI accelerators. The position requires advanced knowledge in computer science or electronic engineering, with a strong emphasis on collaboration and development of advanced techniques.

Salary

SGD 12,000 - 17,500 / Monthly

Skills & Requirements

Must-have

  • low-precision quantization techniques
  • GPU/NPU architecture knowledge
  • hardware–software co-design collaboration
  • high-performance kernel optimization
  • IC design team partnership

Nice-to-have

  • LLM or multimodal model inference optimization
  • hands-on kernel development experience
  • AI accelerator system design background
  • publications in top conferences
  • strong cross-team collaboration skills

Key Requirements

  • Ph.D. in Computer Science or related field
  • strong knowledge of GPU/NPU architecture
  • experience with low-precision quantization and sparsity

Work Rights

Not specified

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