Computer Vision

Job Description and Responsibilities:

As a Computer Vision Software Engineer, your tasks are focused on developing and testing image processing algorithms used in our robotic systems. The work covers the entire pipeline from data collection to training and testing models, as well as improving the existing algorithms. The robotic projects are multidisciplinary team efforts, and you get to work with electrical and mechanical engineers while developing your software piece.

The focus of the job is on equipment control for the semiconductor business. The primary area of work is C# programming with Microsoft Visual Studio 2022, targeting Windows 10, Linux operating systems. The projects all involve embedded software control of robotics and other motion related hardware. In addition, machine vision and machine learning technologies are being incorporated into the system. The following specific tasks will be performed during the project life cycle:

• Gather requirements, write requirement specifications, and get specifications reviewed by team.
• Write design specifications, and get specifications reviewed by team.
• Implement the design with C#/C++ programming, and get code reviewed by team.
• Design test cases and run unit testing over software emulation and on hardware.
• Integrate software component to overall system and perform SQA testing.
• Work with rest of team, including ME, EE and SW engineers in system level integration.
• Document release features and application notes for customers.
• Support customers in their software integration, and in handling field escalations.
• Participate in team reviews on specifications, on code, on documentation and on test-cases.

• MS or BS in Science or equivalence of 5 years of work experience, with experience in Computer Vision and Image Processing.
• 3 years of experience in professional software development.
• 3 years of experience in programming C# and/or C++.
• Fluency in using UML for Object Oriented Analysis/Design, including state machines.
• Experience in programming multi-threading, and network communication.
• Experience in working on software in instrumentation or equipment control.
• Experience in working with a small project team of 6 – 12 engineers.
• Experience in customization of Linux operating system.
• Experience using GIT source control such as Microsoft DevOps.
• Experience in software applications and algorithms using machine vision.
• Experience in software applications and algorithms using machine learning.
• Hands on experience in developing new learning algorithms for computer vision tasks such as object detection, object tracking, segmentation analysis and depth estimation.
• Proficiency in programming languages such as Python and/or C#.
• Experience with developing REST APIs and Familiarity with Database (SQL or NoSQL).
• Experience with Containerization technology such as Docker and/or Kubernetes.
• Written and verbal communication skills to communicate design with rest of the team.
• Experience with ML/DL frameworks such as Tensorflow, Pytorch etc is a plus.
• Knowledge of current DL literature and the mathematical foundations of machine learning is a plus.
• Experience in working on robotics and motion control related software is a plus.