Bangalore Robotics Engineer (Universal Robots, Bangalore India)

Our Purpose 

 

TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day.

We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

Opportunity Overview

 

We are seeking a versatile and hands-on Robotics Engineer to join the AI Partnerships team in Bangalore, India. This is a role within an established US-based team that is expanding into India. You will work at the intersection of robotics, AI, and systems integration, collaborating with model builders and end users to deploy intelligent robotic solutions in real-world industrial environments.

The AI Partnerships team is part of the Chief AI Officer's organization and works across Teradyne's robotics portfolio, including Universal Robots (UR), the global leader in collaborative cobots, and Mobile Industrial Robots (MiR), pioneers in autonomous mobile robots. Your primary focus will be on robot manipulation applications, with additional involvement in visual inspection and autonomous mobile robots (AMRs) / mobile manipulators.

This role requires a well-rounded robotics engineer with strong software development skills, as well as practical experience in mechanical and electrical integration of robotic systems. You will be responsible for deploying and supporting AI-enabled robotic solutions that operate reliably in dynamic, production environments.

 

Responsibilities

 

• Integrate AI models into robotic systems using ROS2, Python, and C++.
• Design, implement, and test robotic subsystems involving mechanical, electrical, and software components.
• Develop and validate manipulation and perception capabilities including object detection, classification, pose estimation, and grasping.
• Work with sensors such as RGBD cameras, LiDAR, and depth sensors to support perception and control.
• Use simulation tools (e.g., NVIDIA Isaac Sim) for development, testing, and synthetic data generation.
• Deploy AI solutions from prototype to production on physical robots, ensuring safety, reliability, and maintainability.
• Collaborate with global teams including Universal Robots and MiR, as well as external model builders and integration partners.
• Support projects in inspection and AMR/mobile manipulator domains, including hardware-software integration and field validation.

 

All About You

We seek individuals who share our passion and determination. Our commitment to customer success drives us to go the extra mile. If you’re ready to join us in this mission, take a closer look at the minimum criteria for the position.

 

Required Qualifications

 

• BS or MS in Robotics, Mechatronics, Mechanical/Electrical Engineering, Computer Science, or a related field.
• 3–6+ years of experience in robotics engineering, including system-level integration of mechanical, electrical, and software components.
• Proficiency in Python and working knowledge of C++.
• Experience with ROS2 and deploying AI models in robotic systems.
• Familiarity with PyTorch or similar ML frameworks.
• Strong understanding of robotics fundamentals including kinematics, motion planning, control, and sensor integration.
• Hands-on experience with robotic hardware, including wiring, sensor calibration, and actuator control.
• Effective communication and collaboration skills.

 

Preferred Qualifications

 

• Experience with robotic perception in production environments.
• Familiarity with sim-to-real transfer techniques.
• Exposure to reinforcement learning or imitation learning.
• Awareness of Vision-Language-Action (VLA) models.
• Experience with robot programming environments (e.g., URScript, PLCs).
• Background in industrial automation, manufacturing, or logistics.
• Experience with anomaly detection or unsupervised learning.
• Familiarity with safety standards and best practices for deploying robots in shared human environments.

 

 

We are only considering candidates local to position location and are unable to provide relocation for this position.

 

 

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.