Assistant Machine Vision Engineer

Smoore Technology Indonesia; Jawa; Presencial; IDR 150 000 000 - 230 000 000; Tempo integral

Resumo da oferta

Smoore Technology Indonesia is seeking a qualified engineer to align with project requirements for hardware selection and solution design. You will design inspection algorithms and debug software, hardware, and inspection modules on-site to satisfy customer acceptance and timely delivery.

The role requires strong knowledge in image processing and machine vision, experience with Halcon/OpenCV, and excellent communication skills in English. Collaboration across teams is essential for success.

Qualificações

• Bachelor's degree or above in image processing/computer science/artificial intelligence or related fields.
• Familiarity with vision libraries Halcon or OpenCV and solid experience in image processing and machine vision development.
• Strong communication and collaboration skills.
• Proficient English listening, speaking, reading and writing abilities.

Responsabilidades

• Align with project requirements to complete hardware selection and solution design.
• Design inspection algorithms based on detection requirements.
• Debug software, hardware, and inspection algorithms on-site to meet customer acceptance criteria and ensure on time project delivery.
• Participate in the development of software systems and functional modules.

Conhecimentos

Image processing

Machine vision

English proficiency

Team collaboration

Formação académica

Bachelor's degree or above in image processing/CS/AI or related fields

Ferramentas

C#

C++

Halcon

OpenCV

Descrição da oferta de emprego

Job Responsibilities:

• Align with project requirements to complete hardware selection and solution design.
• Design inspection algorithms based on detection requirements.
• Debug software, hardware, and inspection algorithms on-site to meet customer acceptance criteria and ensure on time project delivery.
• Participate in the development of software systems and functional modules.

Qualifications:

• Bachelor's degree or above in Image Processing, Computer Science, Artificial Intelligence, or related fields.
• Proficiency in programming languages such as C# or C++.
• Familiarity with one of the vision libraries (Halcon or OpenCV) and solid experience in image processing and machine vision development.
• Strong communication and collaboration skills.
• Possesses good English listening, speaking, reading, and writing skills.