Sr Engineer , Robotics & Computer Vision

Job Summary

The Sr Engineer, Computer Vision, in developing advanced vision systems to enhance product quality and process efficiency in automated manufacturing processes.

Essential Duties and Responsibilities

• 
  Develop and integrate advanced machine vision solutions across various products to enable enhanced process capabilities
• .Design, develop, and implement software solutions for vision system controls and industrial automation
• .Conceptualize and implement machine vision algorithms for object detection, recognition, and inspection
• .Utilize C#, C++, and Visual Basic (.NET) to develop applications interfacing with vision hardware
• .Develop drivers and software for interfacing vision hardware using protocols such as Ethernet/IP, and OPC-UA
• .Create and manage configuration files and initialization scripts using XML
• .Build Human-Machine Interface (HMI) applications for operators to control and monitor vision systems
• .Collaborate with equipment manufacturers and teams on the design and deployment of vision systems prototypes
• .Required skills with PLCs and programming languages such as Ladder Diagram and Structured Text for integration with vision systems
• .Utilize knowledge of I/O systems, safety protocols, and sensor technologies to enhance vision solutions
• .Solves routine and standard problems using established methods within the vision system space
• .Other duties assigned related to vision system development and optimization

• sExpertise in vision system frameworks, sensor integration, and control system design
• .Familiarity with robotic sensors and actuators, with experience in design, simulation, and testing
• .Strong programming skills in languages such as Python and MATLAB for vision system applications
• .Experience with vision system software and integration of technologies like motion planning, machine learning, and computer vision
• .Advanced knowledge of automation systems, including PLCs, HMIs, and SCADA systems
• .Familiarity with industrial communication protocols, including Modbus, OPC, and Ethernet/IP
• .Demonstrated ability to lead and work with cross-functional teams effectively
• .Excellent problem-solving skills and detail orientation
• .Effective communication skills for technical and non-technical audiences
• .Familiarity with Agile methodologies and project management tools
• .Up-to-date knowledge in robotics and vision technologies and their application to industrial systems

.Educatio

• nBachelors Degree Electronic and Telecommunications required o
• rBachelors Degree Computer science required o
• rBachelors Degree Robotics and Automation Engg require

• eMinimum 7+ years of relevant experience require

dPreferred Knowledge, Skills and Abilitie

• sGraduate degree in Electronics & Communication, Controls or computer science engineering with strong or a related field with a focus on vision systems and control engineering
• .6+ years of experience in high-volume manufacturing environments with a focus on vision systems for processes like assembly, inspection, and automation
• .Proficient in C# and .NET technologies for developing control applications relevant to vision systems
• .Strong coding skills in languages such as C++ and Python are highly valued for developing machine vision applications
• .Familiarity with IEC 61131 including Structured Text is preferred
• .Experience in setting up databases for managing vision system data
• .Proficiency with version control systems like Git
• .Strong communication skills to effectively collaborate with team members and stakeholders
• .Previous experience in robotics or automation lines that include vision and sensor integration is considered an advantage
• .Leadership in managing teams involves strategic planning, organizing, leading, and controlling team activities towards achieving business goals
• .An ability to mentor involves sharing expertise and guiding team members in developing their skills. Motivating involves inspiring and encouraging the team to meet and exceed project goals
• .Fostering a collaborative environment involves creating a culture where open communication, teamwork, and shared problem-solving are the norm, which enhances productivity and innovation