314 Robotics Engineering jobs in India
Head of Robotics Engineering [ROS and Computer Vision Systems]
Posted today
Job Viewed
Job Description
Job Title : Head of Robotics Software Engineering (ROS and Computer Vision Systems)
Department : Robotics Engineering
Location : Bangalore
Employment Type : Full-time (In-office)
Experience : 3–5 years of core robotics experience in ROS2, SLAM, vision, and embedded integration
About the Role
We are looking for a technically strong and leadership-oriented Head of Robotics Engineering (ROS & Computer Vision) to drive the design, development, and deployment of our core autonomous systems. The role demands expertise in real-time robotic software, SLAM, and vision control, and a proven track record of leading high-performance robotics teams.
You will play a key role in shaping the architecture and scalability of our autonomous mobility platforms—from ground-level system design to production deployment. The ideal candidate combines deep technical knowledge with the ability to lead multidisciplinary teams and execute with precision in a dynamic startup environment.
Key Responsibilities
Architecture & Autonomy Stack
- Design modular robotics software using ROS2, emphasizing system scalability and reusability.
- Develop algorithms for localization, mapping, and obstacle avoidance tailored to indoor/outdoor industrial grade robots.
- Maintain URDF/Xacro-based robot models, coordinate frames (TF), and system diagnostics.
Vision & SLAM
- Build and optimize visual-SLAM pipelines for navigation in feature-rich and feature-sparse environments.
- Implement depth estimation, feature tracking, and object localization using stereo/monocular cameras.
- Tune performance for varying lighting, terrain, and dynamic conditions using real-world datasets.
Sensor & Control Integration
- Integrate sensor data from LIDAR, IMU, camera, wheel encoders, and ultrasonic sensors.
- Interface with motor drivers, encoders, and feedback systems for motion control and trajectory execution.
- Ensure deterministic behaviour of robot control loops with tight latency and timing constraints.
Simulation, Testing & Deployment
- Set up and manage simulation environments (Gazebo, Webots, RViz) for safe prototyping.
- Conduct hardware-in-loop (HIL) and simulation-in-loop (SIL) tests for real-world validation.
- Contribute to deployment workflows with version-controlled builds, OTA updates, and remote diagnostics.
Team Collaboration & Technical Leadership
- Lead feature development cycles, review technical decisions, and guide junior developers.
- Collaborate cross-functionally across hardware, embedded, and software disciplines.
- Own ROS2 architecture design, transition planning (if from ROS1), and best practices documentation.
Required Skills
- 3–6 years experience in robotics software, with deep focus on ROS2 and autonomous systems.
- Strong hands-on experience in Python and C++, including multithreading and memory handling.
- Practical understanding of SLAM (2D/3D), robot localization, and motion control.
- Experience integrating multi-sensor data and optimizing for real-time robot behaviors.
- Familiarity with configuration, visualization, and debugging in RViz, TF, rqt, and Gazebo.
Preferred Skills
- Experience working with robotic fleets, multi-agent coordination, or shared maps.
- Exposure to deep learning frameworks (for perception or visual features).
- Background in robot calibration, both intrinsic and extrinsic (sensors to robot frame).
- Contribution to ROS packages or robotics open-source communities.
What You Bring
- Structured and systems-level thinking, with a bias toward action.
- Ability to debug complex, time-sensitive robotic issues both in lab and field.
- Passion for robotics, experimentation, and bringing code into the real world.
- Excellent communication and mentoring skills within a small, high-performing team.
What We Offer
- Chance to define autonomy software from the ground up for production robots.
- Exposure to real-world robot deployment, testing, and iteration cycles.
- Fast growth, technical ownership, and learning across all layers of the robotics stack.
- Flexible team culture, collaborative working environment, and strong engineering support.
- Startup or early-stage product development experience, especially in mobile robotics or autonomous systems
Head of Robotics Engineering [ROS and Computer Vision Systems]
Posted today
Job Viewed
Job Description
Department: Robotics Engineering
Location: Bangalore
Employment Type: Full-time (In-office)
Experience: 3–5 years of core robotics experience in ROS2, SLAM, vision, and embedded integration
About the Role
We are looking for a technically strong and leadership-oriented Head of Robotics Engineering (ROS & Computer Vision) to drive the design, development, and deployment of our core autonomous systems. The role demands expertise in real-time robotic software, SLAM, and vision control, and a proven track record of leading high-performance robotics teams.
You will play a key role in shaping the architecture and scalability of our autonomous mobility platforms—from ground-level system design to production deployment. The ideal candidate combines deep technical knowledge with the ability to lead multidisciplinary teams and execute with precision in a dynamic startup environment.
Key Responsibilities
Architecture & Autonomy Stack
- Design modular robotics software using ROS2, emphasizing system scalability and reusability.
- Develop algorithms for localization, mapping, and obstacle avoidance tailored to indoor/outdoor industrial grade robots.
- Maintain URDF/Xacro-based robot models, coordinate frames (TF), and system diagnostics.
Vision & SLAM
- Build and optimize visual-SLAM pipelines for navigation in feature-rich and feature-sparse environments.
- Implement depth estimation, feature tracking, and object localization using stereo/monocular cameras.
- Tune performance for varying lighting, terrain, and dynamic conditions using real-world datasets.
Sensor & Control Integration
- Integrate sensor data from LIDAR, IMU, camera, wheel encoders, and ultrasonic sensors.
- Interface with motor drivers, encoders, and feedback systems for motion control and trajectory execution.
- Ensure deterministic behaviour of robot control loops with tight latency and timing constraints.
Simulation, Testing & Deployment
- Set up and manage simulation environments (Gazebo, Webots, RViz) for safe prototyping.
- Conduct hardware-in-loop (HIL) and simulation-in-loop (SIL) tests for real-world validation.
- Contribute to deployment workflows with version-controlled builds, OTA updates, and remote diagnostics.
Team Collaboration & Technical Leadership
- Lead feature development cycles, review technical decisions, and guide junior developers.
- Collaborate cross-functionally across hardware, embedded, and software disciplines.
- Own ROS2 architecture design, transition planning (if from ROS1), and best practices documentation.
Required Skills
- 3–6 years experience in robotics software, with deep focus on ROS2 and autonomous systems.
- Strong hands-on experience in Python and C++, including multithreading and memory handling.
- Practical understanding of SLAM (2D/3D), robot localization, and motion control.
- Experience integrating multi-sensor data and optimizing for real-time robot behaviors.
- Familiarity with configuration, visualization, and debugging in RViz, TF, rqt, and Gazebo.
Preferred Skills
- Experience working with robotic fleets, multi-agent coordination, or shared maps.
- Exposure to deep learning frameworks (for perception or visual features).
- Background in robot calibration, both intrinsic and extrinsic (sensors to robot frame).
- Contribution to ROS packages or robotics open-source communities.
What You Bring
- Structured and systems-level thinking, with a bias toward action.
- Ability to debug complex, time-sensitive robotic issues both in lab and field.
- Passion for robotics, experimentation, and bringing code into the real world.
- Excellent communication and mentoring skills within a small, high-performing team.
What We Offer
- Chance to define autonomy software from the ground up for production robots.
- Exposure to real-world robot deployment, testing, and iteration cycles.
- Fast growth, technical ownership, and learning across all layers of the robotics stack.
- Flexible team culture, collaborative working environment, and strong engineering support.
- Startup or early-stage product development experience, especially in mobile robotics or autonomous systems
Head of Robotics Engineering [ROS and Computer Vision Systems]
Posted today
Job Viewed
Job Description
Job Title : Head of Robotics Software Engineering (ROS and Computer Vision Systems)
Department : Robotics Engineering
Location : Bangalore
Employment Type : Full-time (In-office)
Experience : 3–5 years of core robotics experience in ROS2, SLAM, vision, and embedded integration
About the Role
We are looking for a technically strong and leadership-oriented Head of Robotics Engineering (ROS & Computer Vision) to drive the design, development, and deployment of our core autonomous systems. The role demands expertise in real-time robotic software, SLAM, and vision control, and a proven track record of leading high-performance robotics teams.
You will play a key role in shaping the architecture and scalability of our autonomous mobility platforms—from ground-level system design to production deployment. The ideal candidate combines deep technical knowledge with the ability to lead multidisciplinary teams and execute with precision in a dynamic startup environment.
Key Responsibilities
Architecture & Autonomy Stack
- Design modular robotics software using ROS2, emphasizing system scalability and reusability.
- Develop algorithms for localization, mapping, and obstacle avoidance tailored to indoor/outdoor industrial grade robots.
- Maintain URDF/Xacro-based robot models, coordinate frames (TF), and system diagnostics.
Vision & SLAM
- Build and optimize visual-SLAM pipelines for navigation in feature-rich and feature-sparse environments.
- Implement depth estimation, feature tracking, and object localization using stereo/monocular cameras.
- Tune performance for varying lighting, terrain, and dynamic conditions using real-world datasets.
Sensor & Control Integration
- Integrate sensor data from LIDAR, IMU, camera, wheel encoders, and ultrasonic sensors.
- Interface with motor drivers, encoders, and feedback systems for motion control and trajectory execution.
- Ensure deterministic behaviour of robot control loops with tight latency and timing constraints.
Simulation, Testing & Deployment
- Set up and manage simulation environments (Gazebo, Webots, RViz) for safe prototyping.
- Conduct hardware-in-loop (HIL) and simulation-in-loop (SIL) tests for real-world validation.
- Contribute to deployment workflows with version-controlled builds, OTA updates, and remote diagnostics.
Team Collaboration & Technical Leadership
- Lead feature development cycles, review technical decisions, and guide junior developers.
- Collaborate cross-functionally across hardware, embedded, and software disciplines.
- Own ROS2 architecture design, transition planning (if from ROS1), and best practices documentation.
Required Skills
- 3–6 years experience in robotics software, with deep focus on ROS2 and autonomous systems.
- Strong hands-on experience in Python and C++, including multithreading and memory handling.
- Practical understanding of SLAM (2D/3D), robot localization, and motion control.
- Experience integrating multi-sensor data and optimizing for real-time robot behaviors.
- Familiarity with configuration, visualization, and debugging in RViz, TF, rqt, and Gazebo.
Preferred Skills
- Experience working with robotic fleets, multi-agent coordination, or shared maps.
- Exposure to deep learning frameworks (for perception or visual features).
- Background in robot calibration, both intrinsic and extrinsic (sensors to robot frame).
- Contribution to ROS packages or robotics open-source communities.
What You Bring
- Structured and systems-level thinking, with a bias toward action.
- Ability to debug complex, time-sensitive robotic issues both in lab and field.
- Passion for robotics, experimentation, and bringing code into the real world.
- Excellent communication and mentoring skills within a small, high-performing team.
What We Offer
- Chance to define autonomy software from the ground up for production robots.
- Exposure to real-world robot deployment, testing, and iteration cycles.
- Fast growth, technical ownership, and learning across all layers of the robotics stack.
- Flexible team culture, collaborative working environment, and strong engineering support.
- Startup or early-stage product development experience, especially in mobile robotics or autonomous systems
Head of Robotics Engineering [ROS and Computer Vision Systems]
Posted 8 days ago
Job Viewed
Job Description
Job Title : Head of Robotics Software Engineering (ROS and Computer Vision Systems)
Department : Robotics Engineering
Location : Bangalore
Employment Type : Full-time (In-office)
Experience : 3–5 years of core robotics experience in ROS2, SLAM, vision, and embedded integration
About the Role
We are looking for a technically strong and leadership-oriented Head of Robotics Engineering (ROS & Computer Vision) to drive the design, development, and deployment of our core autonomous systems. The role demands expertise in real-time robotic software, SLAM, and vision control, and a proven track record of leading high-performance robotics teams.
You will play a key role in shaping the architecture and scalability of our autonomous mobility platforms—from ground-level system design to production deployment. The ideal candidate combines deep technical knowledge with the ability to lead multidisciplinary teams and execute with precision in a dynamic startup environment.
Key Responsibilities
Architecture & Autonomy Stack
- Design modular robotics software using ROS2, emphasizing system scalability and reusability.
- Develop algorithms for localization, mapping, and obstacle avoidance tailored to indoor/outdoor industrial grade robots.
- Maintain URDF/Xacro-based robot models, coordinate frames (TF), and system diagnostics.
Vision & SLAM
- Build and optimize visual-SLAM pipelines for navigation in feature-rich and feature-sparse environments.
- Implement depth estimation, feature tracking, and object localization using stereo/monocular cameras.
- Tune performance for varying lighting, terrain, and dynamic conditions using real-world datasets.
Sensor & Control Integration
- Integrate sensor data from LIDAR, IMU, camera, wheel encoders, and ultrasonic sensors.
- Interface with motor drivers, encoders, and feedback systems for motion control and trajectory execution.
- Ensure deterministic behaviour of robot control loops with tight latency and timing constraints.
Simulation, Testing & Deployment
- Set up and manage simulation environments (Gazebo, Webots, RViz) for safe prototyping.
- Conduct hardware-in-loop (HIL) and simulation-in-loop (SIL) tests for real-world validation.
- Contribute to deployment workflows with version-controlled builds, OTA updates, and remote diagnostics.
Team Collaboration & Technical Leadership
- Lead feature development cycles, review technical decisions, and guide junior developers.
- Collaborate cross-functionally across hardware, embedded, and software disciplines.
- Own ROS2 architecture design, transition planning (if from ROS1), and best practices documentation.
Required Skills
- 3–6 years experience in robotics software, with deep focus on ROS2 and autonomous systems.
- Strong hands-on experience in Python and C++, including multithreading and memory handling.
- Practical understanding of SLAM (2D/3D), robot localization, and motion control.
- Experience integrating multi-sensor data and optimizing for real-time robot behaviors.
- Familiarity with configuration, visualization, and debugging in RViz, TF, rqt, and Gazebo.
Preferred Skills
- Experience working with robotic fleets, multi-agent coordination, or shared maps.
- Exposure to deep learning frameworks (for perception or visual features).
- Background in robot calibration, both intrinsic and extrinsic (sensors to robot frame).
- Contribution to ROS packages or robotics open-source communities.
What You Bring
- Structured and systems-level thinking, with a bias toward action.
- Ability to debug complex, time-sensitive robotic issues both in lab and field.
- Passion for robotics, experimentation, and bringing code into the real world.
- Excellent communication and mentoring skills within a small, high-performing team.
What We Offer
- Chance to define autonomy software from the ground up for production robots.
- Exposure to real-world robot deployment, testing, and iteration cycles.
- Fast growth, technical ownership, and learning across all layers of the robotics stack.
- Flexible team culture, collaborative working environment, and strong engineering support.
- Startup or early-stage product development experience, especially in mobile robotics or autonomous systems
Head of Robotics Engineering [ROS and Computer Vision Systems]
Posted today
Job Viewed
Job Description
Job Title : Head of Robotics Software Engineering (ROS and Computer Vision Systems)
Department : Robotics Engineering
Location : Bangalore
Employment Type : Full-time (In-office)
Experience : 3–5 years of core robotics experience in ROS2, SLAM, vision, and embedded integration
About the Role
We are looking for a technically strong and leadership-oriented Head of Robotics Engineering (ROS & Computer Vision) to drive the design, development, and deployment of our core autonomous systems. The role demands expertise in real-time robotic software, SLAM, and vision control, and a proven track record of leading high-performance robotics teams.
You will play a key role in shaping the architecture and scalability of our autonomous mobility platforms—from ground-level system design to production deployment. The ideal candidate combines deep technical knowledge with the ability to lead multidisciplinary teams and execute with precision in a dynamic startup environment.
Key Responsibilities
Architecture & Autonomy Stack
- Design modular robotics software using ROS2, emphasizing system scalability and reusability.
- Develop algorithms for localization, mapping, and obstacle avoidance tailored to indoor/outdoor industrial grade robots.
- Maintain URDF/Xacro-based robot models, coordinate frames (TF), and system diagnostics.
Vision & SLAM
- Build and optimize visual-SLAM pipelines for navigation in feature-rich and feature-sparse environments.
- Implement depth estimation, feature tracking, and object localization using stereo/monocular cameras.
- Tune performance for varying lighting, terrain, and dynamic conditions using real-world datasets.
Sensor & Control Integration
- Integrate sensor data from LIDAR, IMU, camera, wheel encoders, and ultrasonic sensors.
- Interface with motor drivers, encoders, and feedback systems for motion control and trajectory execution.
- Ensure deterministic behaviour of robot control loops with tight latency and timing constraints.
Simulation, Testing & Deployment
- Set up and manage simulation environments (Gazebo, Webots, RViz) for safe prototyping.
- Conduct hardware-in-loop (HIL) and simulation-in-loop (SIL) tests for real-world validation.
- Contribute to deployment workflows with version-controlled builds, OTA updates, and remote diagnostics.
Team Collaboration & Technical Leadership
- Lead feature development cycles, review technical decisions, and guide junior developers.
- Collaborate cross-functionally across hardware, embedded, and software disciplines.
- Own ROS2 architecture design, transition planning (if from ROS1), and best practices documentation.
Required Skills
- 3–6 years experience in robotics software, with deep focus on ROS2 and autonomous systems.
- Strong hands-on experience in Python and C++, including multithreading and memory handling.
- Practical understanding of SLAM (2D/3D), robot localization, and motion control.
- Experience integrating multi-sensor data and optimizing for real-time robot behaviors.
- Familiarity with configuration, visualization, and debugging in RViz, TF, rqt, and Gazebo.
Preferred Skills
- Experience working with robotic fleets, multi-agent coordination, or shared maps.
- Exposure to deep learning frameworks (for perception or visual features).
- Background in robot calibration, both intrinsic and extrinsic (sensors to robot frame).
- Contribution to ROS packages or robotics open-source communities.
What You Bring
- Structured and systems-level thinking, with a bias toward action.
- Ability to debug complex, time-sensitive robotic issues both in lab and field.
- Passion for robotics, experimentation, and bringing code into the real world.
- Excellent communication and mentoring skills within a small, high-performing team.
What We Offer
- Chance to define autonomy software from the ground up for production robots.
- Exposure to real-world robot deployment, testing, and iteration cycles.
- Fast growth, technical ownership, and learning across all layers of the robotics stack.
- Flexible team culture, collaborative working environment, and strong engineering support.
- Startup or early-stage product development experience, especially in mobile robotics or autonomous systems
Assistant Professor - Robotics and Automation Engineering
Posted today
Job Viewed
Job Description
Job title: Faculty Positions in Mechatronics Engineering Department
We are seeking qualified and dynamic individuals to join our Mechatronics, Robotics and Automation Engineering Department. Applications are invited for faculty positions in the following areas:
- Professor
- Associate Professor
- Assistant Professor
Qualifications :
- Preference for candidate Ph.D. in a relevant discipline.
- M. Tech in Mechatronics, Robotics, Electronics and Communication Engineering, Instrumentation & Controls, Embedded Systems, Automation and Control (Essential).
Responsibilities :
- Deliver high-quality lectures, labs, and workshops in Mechatronics Engineering.
- Conduct research and contribute to scholarly publications in the field.
- Mentor and guide students in their academic and research pursuits.
- Participate in curriculum development and enhancement.
- Collaborate with industry partners for research projects and internships.
Additional Requirements :
- Strong knowledge and practical experience in Mechatronics Engineering.
- Familiarity with modern teaching methodologies and technologies.
- Effective communication and interpersonal skills.
Apply Now!
Email :
Assistant Professor - Robotics and Automation Engineering
Posted 1 day ago
Job Viewed
Job Description
We are seeking qualified and dynamic individuals to join our Mechatronics, Robotics and Automation Engineering Department. Applications are invited for faculty positions in the following areas:
Professor
Associate Professor
Assistant Professor
Qualifications :
Preference for candidate Ph.D. in a relevant discipline.
M. Tech in Mechatronics, Robotics, Electronics and Communication Engineering, Instrumentation & Controls, Embedded Systems, Automation and Control (Essential).
Responsibilities :
Deliver high-quality lectures, labs, and workshops in Mechatronics Engineering.
Conduct research and contribute to scholarly publications in the field.
Mentor and guide students in their academic and research pursuits.
Participate in curriculum development and enhancement.
Collaborate with industry partners for research projects and internships.
Additional Requirements :
Strong knowledge and practical experience in Mechatronics Engineering.
Familiarity with modern teaching methodologies and technologies.
Effective communication and interpersonal skills.
Apply Now!
Email :
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Assistant Professor - Robotics and Automation Engineering
Posted today
Job Viewed
Job Description
Job title: Faculty Positions in Mechatronics Engineering Department
We are seeking qualified and dynamic individuals to join our Mechatronics, Robotics and Automation Engineering Department. Applications are invited for faculty positions in the following areas:
- Professor
- Associate Professor
- Assistant Professor
Qualifications :
- Preference for candidate Ph.D. in a relevant discipline.
- M. Tech in Mechatronics, Robotics, Electronics and Communication Engineering, Instrumentation & Controls, Embedded Systems, Automation and Control (Essential).
Responsibilities :
- Deliver high-quality lectures, labs, and workshops in Mechatronics Engineering.
- Conduct research and contribute to scholarly publications in the field.
- Mentor and guide students in their academic and research pursuits.
- Participate in curriculum development and enhancement.
- Collaborate with industry partners for research projects and internships.
Additional Requirements :
- Strong knowledge and practical experience in Mechatronics Engineering.
- Familiarity with modern teaching methodologies and technologies.
- Effective communication and interpersonal skills.
Apply Now!
Email :
Assistant Professor - Robotics and Automation Engineering
Posted today
Job Viewed
Job Description
Job title: Faculty Positions in Mechatronics Engineering Department
We are seeking qualified and dynamic individuals to join our Mechatronics, Robotics and Automation Engineering Department. Applications are invited for faculty positions in the following areas:
- Professor
- Associate Professor
- Assistant Professor
Qualifications :
- Preference for candidate Ph.D. in a relevant discipline.
- M. Tech in Mechatronics, Robotics, Electronics and Communication Engineering, Instrumentation & Controls, Embedded Systems, Automation and Control (Essential).
Responsibilities :
- Deliver high-quality lectures, labs, and workshops in Mechatronics Engineering.
- Conduct research and contribute to scholarly publications in the field.
- Mentor and guide students in their academic and research pursuits.
- Participate in curriculum development and enhancement.
- Collaborate with industry partners for research projects and internships.
Additional Requirements :
- Strong knowledge and practical experience in Mechatronics Engineering.
- Familiarity with modern teaching methodologies and technologies.
- Effective communication and interpersonal skills.
Apply Now!
Email :
Assistant Professor - Robotics and Automation Engineering
Posted today
Job Viewed
Job Description
Job title: Faculty Positions in Mechatronics Engineering Department
We are seeking qualified and dynamic individuals to join our Mechatronics, Robotics and Automation Engineering Department. Applications are invited for faculty positions in the following areas:
- Professor
- Associate Professor
- Assistant Professor
Qualifications :
- Preference for candidate Ph.D. in a relevant discipline.
- M. Tech in Mechatronics, Robotics, Electronics and Communication Engineering, Instrumentation & Controls, Embedded Systems, Automation and Control (Essential).
Responsibilities :
- Deliver high-quality lectures, labs, and workshops in Mechatronics Engineering.
- Conduct research and contribute to scholarly publications in the field.
- Mentor and guide students in their academic and research pursuits.
- Participate in curriculum development and enhancement.
- Collaborate with industry partners for research projects and internships.
Additional Requirements :
- Strong knowledge and practical experience in Mechatronics Engineering.
- Familiarity with modern teaching methodologies and technologies.
- Effective communication and interpersonal skills.
Apply Now!
Email :