Title:  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.

Additional Responsibilities

• 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.

Education

• Bachelor's Degree Electronic and Telecommunications required or
• Bachelor's Degree Computer science required or
• Bachelor's Degree Robotics and Automation Engg required

Work Experience

• Minimum 7+ years of relevant experience required

Preferred Knowledge, Skills and Abilities

• 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.

License and Certifications

Travel Requirements

Physical Requirements

Additional Requirements

What We Offer

Shift

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