About The Position

We are seeking a Principal Engineer to lead the architecture and deployment of embedded vision solutions on edge platforms. This role focuses on developing real-time, efficient computer vision pipelines optimized for microcontrollers and microprocessors across industrial, medical, and aerospace applications.

Requirements

  • BS in EE/CS or related field with 10+ years of experience
  • Strong expertise in embedded systems and computer vision
  • Proficiency in C/C++, RTOS/Linux environments
  • Experience with TinyML frameworks (e.g., TFLite Micro) and model optimization
  • Familiarity with low-power design and hardware acceleration

Nice To Haves

  • MS/PhD in EE/CS or related field

Responsibilities

  • Architect end-to-end vision pipelines (capture → preprocessing → inference → post-processing)
  • Optimize CNN models using quantization, pruning, and memory-aware techniques
  • Enable camera interfaces, ISP pipelines, and real-time performance tuning
  • Collaborate with silicon, tools, and applications teams to influence roadmap
  • Mentor engineers and drive technical leadership across projects
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