@HYVE Solutions is looking for a candidate to solve manufacturing problems using computer vision, machine learning, and statistical techniques to create innovative, scalable optical inspection solutions.
Requirements
- Proficient in C++, C, Python and OpenCV
- Experience with Automated Optical Inspection equipment
- Understanding of hardware development and manufacturing process of consumer products
- Strong background in computer vision, machine learning and applications
Responsibilities
- Use computer vision, machine learning, and statistical techniques to create innovative, scalable optical inspection solutions to solve manufacturing problems
- Develop algorithms and software tools needed for instrument control, data capture and data analysis
- Coordinate the fabrication and deployment of inspection solutions
- Lead the product inspection technology roadmap with associated functional teams
Other
- Minimum 2-3 years hands on people management experience
- 7+ years hands-on experience architecting and designing optical inspection solutions
- Demonstrated small/large team leadership and interpersonal skills
- Good communication and organization skills, with a logical approach to problem-solving, good time management and task prioritizing skills
- BS/MS+ in Computer Science, Computer Engineering, Electrical Engineering, AI, or related fields
