Sr Engineer , Robotics & Computer Vision

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

• 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.

• Expertise 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.

• Bachelors Degree Electronic and Telecommunications required or


• Bachelors Degree Computer science required or


• Bachelors Degree Robotics and Automation Engg required

• Minimum 7+ years of relevant experience required

• Graduate 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.

12pm to 9pm , Mon to Friday , Work from Office