Computer Vision Engineer

Experience: 3-8 Years

Work location : Bangalore location

Mode of work : Hybrid mode of work

Duties to include: 

• Work closely with multi-site software teams to coordinate with your counterparts from around the globe to deliver software features that support semiconductor packaging equipment.
• Reviewing and co-specifying requirements.  
• Work with system engineers to draft proposals for value-added vision features/solutions to improve machine UPH/Accuracy/MTBA. 
• Interact with other subsystem engineers (Mechanical, Electrical, Motion etc.) and help to assess different design alternatives for pros/cons.
• Develop, optimize, and maintain software using C++, with a strong emphasis on algorithm efficiency and performance.
• Support equipment testing, demo, qualification and buyoff in-house or at international customer sites.

Experience required: 

• Minimum 5 years of relevant experience in software development implementing machine vision and traditional image processing algorithms
• Proficient in C++ and Object Oriented Analysis & Object Oriented Design Methodologies  
• Deep theoretical & practical background in Applied Mathematics, Optimization, Signal Processing, Object/Pattern Recognition and Machine Learning.
• Experience in debug and bring-up of prototype HW/SW systems including optics, illumination, imaging sensors, and their interactions with motion systems
• Experience with developing real time image processing algorithms under Linux/Win32/MFC, TCP/IP Networking, multithreading, and inter-process communication.
• Experience with 3rd party imaging tools/APIs/SDKs such as MIL (matrox imaging library), Matlab, OpenCV (C++ API) or other open source libraries is a plus point.
• Prior experience in the architecture, design and development of real-time control software for semiconductor equipment preferred.   
• Experience with deep learning is beneficial but not required. This role primarily focuses on traditional computer vision techniques, and candidates should be comfortable working with image processing and machine vision algorithms
• Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering or related fields.

Preferred candidate profile