Conduct feasibility studies, proof-of-concepts, and prototyping for new robotic and automation technologies tailored to specific manufacturing challenges.
Drive innovation by contributing to intellectual property development and filing patents related to robotics and automation solutions.
Lead the design, development, and deployment of cutting-edge robotic and automation solutions for manufacturing lines, ensuring efficiency, reliability, and scalability.
Travel to manufacturing sites as needed to collaborate with plant teams, understand operational processes, and evaluate implementation success.
Develop quick proof-of-concepts and demonstrate their value in a lab environment prior to full-scale deployment.
Develop and program industrial robots, including their kinematics, motion planning, and application-specific tasks.
Apply machine vision technologies, including camera systems and image processing algorithms, for part recognition, inspection, and alignment.
Troubleshoot and resolve issues in deployed systems, ensuring maximum equipment uptime and performance.
Integrate robotic systems with supervisory control systems and other manufacturing equipment, ensuring seamless interoperability.
Stay abreast of advances in robotics, automation, and manufacturing technologies by attending conferences, reviewing literature, and fostering collaboration with academic and industry partners.
Mentor and guide junior engineers in robotics and automation concepts, fostering knowledge sharing across the team.
Maintain detailed technical documentation, including designs, programming approaches, system architecture, and lessons learned.
Collaborate closely with manufacturing teams to analyze existing workflows, identify automation opportunities, and implement innovative solutions that improve safety, quality, delivery, and cost.
Requirements
robot programming
python
plc
phd
machine vision
lean manufacturing
8–13 years of hands-on experience implementing robotics and automation solutions in manufacturing environments.
Proficient in robot programming (e.g., ABB, Fanuc, KUKA, Mitsubishi, or Universal Robots), including offline programming tools and simulation environments.
Proficiency in integrating AIML with robotics to enhance automation capabilities and decision-making.
Demonstrated ability to critically assess manufacturing challenges and design innovative solutions that address operational inefficiencies.
Familiarity with cybersecurity and data integrity concerns related to automation and robotics systems in manufacturing environments.
Solid understanding of manufacturing concepts and a track record of deploying automation solutions in real-world scenarios.
Experience with machine vision systems (e.g., OpenCV, Cognex, or Halcon) and their integration to enhance automation workflows.
Willingness to travel to manufacturing sites and work closely with plant teams to evaluate processes and implement automation solutions.
Familiarity with digital twin technologies and their use in optimizing robotics and automation deployments.
Strong leadership skills, with proven capability to guide teams through technical challenges and project execution.
Proficiency in relevant programming languages (e.g., Python, C++, MATLAB), industrial automation tools, and control system design software.
Proficiency in integrating robots into industrial automation environments, including PLCs, SCADA systems, and IoT-enabled devices.
Ability to develop quick proof-of-concepts and demonstrate the value in a lab environment prior to full-scale industrial deployment.
PhD in Robotics, Controls, Mechatronics, or a related field from a top-ranked university (India or abroad), OR a master’s degree with demonstrated industry excellence and practical experience.
Expertise in lean manufacturing principles, process optimization, and waste reduction within production lines.
Publication and patenting experience demonstrating thought leadership in robotics and automation.
Strong foundational knowledge in robotic systems, including kinematics, dynamics, and control systems.
Exceptional interpersonal skills to collaborate across diverse teams of engineers, product managers, and manufacturing teams.