Robotics Engineer Intern

InternHunt; Pune District; On-site; INR 89,000 - 167,000; Full time

Job summary

Augle AI, a Pune-based deep-tech startup, invites applications for a Robotics Engineering Intern to join our on-site Pune team. You will work at the intersection of industrial automation, robotics, and software, gaining hands-on experience programming and deploying industrial robots while contributing to simulation, digital twins, and autonomous systems.

You will collaborate with our vision and AI teams and may travel to customer sites for installation, testing, and deployment, gaining exposure

Qualifications

• ,

Responsibilities

• Program, configure, and optimize multi-axis industrial robots such as KUKA, ABB, Fanuc, and Yaskawa for manufacturing and automation applications.
• Build and work with digital twins and simulation environments using NVIDIA Isaac Sim / Omniverse and Gazebo.
• Develop and maintain robotics software and control pipelines.
• Implement and test trajectory planning, collision avoidance, kinematics, and dynamics in simulation before physical deployment.
• Integrate and calibrate robot controllers, end-effectors, sensors, safety systems, and machine vision systems.
• Collaborate with computer vision and AI teams to integrate perception, path planning, and closed-loop control with physical robots.
• Support robot installation, commissioning, testing, and on-site deployment at customer locations.
• Assist with robot optimization for speed, accuracy, and repeatability, as well as client handover and training.

Skills

Robotics fundamentals

Python

C++

ROS/ROS 2

Linux

KUKA/ABB/Fanuc/Yaskawa robots

Trajectory planning

Education

Final-year student or recent graduate in Robotics, Mechatronics, Mechanical, Electrical Engineering, Computer Science, or related field

Tools

Gazebo

NVIDIA Isaac Sim / Omniverse

Industrial robot simulators

Job description

Augle AI is a deep-tech startup founded by IIT Bombay alumni, building AI and 3D Vision-powered Roboticsand Automation Systems for manufacturing companies. We are developing the next generation ofmanufacturing technology - flexible, intelligent, and adaptable to rapidly changing consumer demand.

Our solutions enable manufacturers to achieve new levels of efficiency by automating processes that werepreviously impossible with conventional technologies. We serve a diverse range of industries includingAutomotive, Medical Devices, Renewables, Aerospace, Semiconductors, and Electronics.

Our systems are trusted and deployed by leading organizations such as Tata Motors, Borosil Renewables,Aurolab, and suppliers to Mahindra, Blue Star, and Godrej, among many others.

Robotics Engineering Intern

to join our Pune team on an on-site basis. In this role, you will work at the intersection of industrial automation, robotics, and software, gaining hands-on experience in programming and deploying industrial robots while contributing to simulation, digital twins, and autonomous robotics systems. You will collaborate with our vision and AI teams and may also get opportunities to travel to customer sites for installation, testing, and deployment.

Key Responsibilities

• Program, configure, and optimizemulti-axis industrial robotssuch as KUKA, ABB, Fanuc, and Yaskawa for manufacturing and automation applications.
• Build and work withdigital twins and simulation environmentsusing NVIDIA Isaac Sim / Omniverse and Gazebo.
• Develop and maintain robotics software and control pipelines using
• Implement and testtrajectory planning, collision avoidance, kinematics, and dynamicsin simulation before physical deployment.
• Integrate and calibraterobot controllers, end-effectors, sensors, safety systems, and machine vision systems.
• Collaborate with computer vision and AI teams to integrateperception, path planning, and closed-loop controlwith physical robots.
• Support robot installation, commissioning, testing, and on-site deployment at customer locations.
• Assist with robot optimization forspeed, accuracy, and repeatability, as well as client handover and training.

Qualifications

• Final-year student or recent graduate in

Robotics, Mechatronics, Mechanical, Electrical Engineering, Computer Science, or a related field.

• Familiarity with or hands-on project experience in programmingindustrial robotssuch as KUKA, ABB, Fanuc, or Yaskawa is preferred.
• Experience with

ROS / ROS 2, including concepts such as navigation, MoveIt, TF, and custom nodes.

• Practical experience with robotics simulation platforms such as

NVIDIA Isaac Sim / Omniverse or Gazebo.

• Strong programming skills in

Python and/or C++, preferably in a Linux/Ubuntu environment.

• Basic understanding ofrobot kinematics, dynamics, trajectory planning, and coordinate transformations.
• Understanding ofelectrical wiring, industrial I/O, sensors, calibration, and industrial communication protocolsis a plus.
• Strong analytical and problem-solving skills with a willingness to work hands-on with bothsoftware and physical robotic systems.
• Candidates with relevantrobotics projects, internships, academic work, or hands-on lab experiencewill be preferred.
• Workdays:Monday to Saturday
• Working Hours:10:00 AM - 6:30 PM
• Travel:Regular visits to client locations, with varying on-site durations to meet project needs
• Compensation:Competitive stipend based on experience and skillset
• Why Join Us?Innovative Environment: Work on cutting-edge AI and robotic automation projects at the forefront of industry innovation.
• Professional Growth: Advance your robotics expertise through hands-on programming, system integration, and on-site deployment.
• Collaborative Team: Join a group of driven professionals who value knowledge sharing and continuous learning.
• Impactful Work: Contribute to solutions that enhance manufacturing efficiency for leading industrial players.

If you have a passion forrobotics, enjoyhands-on implementation, and are prepared totravelto bring projects to life,we want to hear from you. Help Augle AI revolutionize manufacturing with AI-driven robotic solutions.

Augle AIrevolutionize manufacturing with AI-driven robotic solutions.