Job Description: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.
Key Responsibilities- Architect end-to-end vision pipelines (capture 12 preprocessing 12 inference 12 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
Requirements/Qualifications:- 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
Preferred
- MS/PhD in EE/CS or related field
Travel Time:0% - 25%
Physical Attributes:Feeling, Hearing, Seeing, Talking, Works Alone, Works Around Others
Physical Requirements:80% sitting, 10% walking, 10% standing
