Principal Engineer- Applications (Embedded Vision Edge AI)
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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 → 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
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 OthersPhysical Requirements:
80% sitting, 10% walking, 10% standingMicrochip Technology Inc is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
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