304 Robotics jobs in Hyderabad

Job Description: Autonomous Navigation Specialist {robotics engineer}

Role Overview

We are seeking an experienced Autonomous Navigation Specialist  to design, develop, and optimize advanced navigation systems for autonomous vehicles, drones, and robotic platforms. The ideal candidate will have a proven track record of building robust systems that can operate independently and safely in GPS-denied and complex environments. This role requires deep expertise in algorithm development, multi-sensor fusion, and real-world deployment of navigation stacks.

Key Responsibilities

• Lead the design and implementation of Simultaneous Localization and Mapping (SLAM)  pipelines for autonomous platforms.
• Develop and optimize path planning  and motion control  algorithms to enable safe and efficient navigation.
• Integrate and calibrate diverse sensors, including IMUs, LiDARs, cameras, GNSS, and radar , into a cohesive navigation framework.
• Implement and maintain sensor fusion algorithms  (e.g., EKF, UKF, graph-based optimization).
• Conduct extensive simulation, testing, and validation  using tools like ROS/ROS2, Gazebo, CARLA, or similar platforms.
• Collaborate with hardware, perception, and AI teams to deliver end-to-end autonomous navigation solutions.
• Troubleshoot system performance in field tests and iteratively improve reliability under real-world conditions.
• Mentor junior engineers and contribute to technical roadmaps and research directions.

Required Skills & Experience

• Strong background in robotics, computer vision, or control systems  (Master’s or PhD preferred).
• 2+ years of hands-on experience  developing and deploying navigation systems for autonomous drones, robots, or vehicles.
• Deep expertise in SLAM (visual, LiDAR, or visual-inertial) , path planning , and multi-sensor fusion .
• Proficiency in C++ and Python , with extensive experience in ROS/ROS2 .
• Strong understanding of control theory, state estimation, and probabilistic robotics .
• Experience with simulation tools  (Gazebo, CARLA, AirSim, or equivalent).
• Familiarity with GPU/embedded platforms (NVIDIA Jetson, FPGA, or similar).
• Demonstrated ability to solve complex problems and deliver production-ready systems.

Preferred Qualifications

• Experience with autonomous drones (UAVs)  and ground robots (UGVs) .
• Publications or patents in navigation, robotics, or related domains.
• Hands-on experience with field testing  of autonomous navigation systems.
• Knowledge of safety standards  and regulatory requirements for autonomous systems.

What We Offer

• Opportunity to work on cutting-edge autonomous systems with global impact.
• A highly collaborative environment with hardware and AI experts.
• Growth opportunities in a fast-scaling deep-tech startup.

Job Summary:

The Robotics Engineer is responsible for designing, developing, and implementing robotic systems that automate processes, improve efficiency, and enhance product quality. The role involves working with hardware and software components, programming robotic systems, and collaborating with cross-functional teams to bring innovative automation solutions to life.

Key Responsibilities:

• Design and develop robotic systems, components, and applications tailored to business or client needs.
• Create and optimize mechanical and electrical designs for robotic assemblies.
• Develop control algorithms and write code for robotic systems using programming languages such as C/C++, Python, or ROS (Robot Operating System).
• Integrate sensors, actuators, vision systems, and control units into functional prototypes.
• Conduct simulation, testing, and validation of robotic systems to ensure performance, accuracy, and safety.
• Collaborate with mechanical, electrical, and software engineers throughout the product development lifecycle.
• Troubleshoot and resolve issues related to robotic hardware, software, and motion control.
• Research and implement new technologies in AI, computer vision, and machine learning for intelligent automation.
• Ensure compliance with industry standards, safety regulations, and quality assurance processes.
• Document design specifications, test results, and maintenance procedures.

Key Skills & Competencies:

• Proficiency in robotics software frameworks (ROS, Gazebo, OpenCV).
• Strong understanding of mechatronics, control systems, and automation technologies.
• Experience in robot kinematics, path planning, and motion control.
• Hands-on experience with embedded systems, PLC programming, and microcontrollers (Arduino, Raspberry Pi, etc.).
• Familiarity with AI/ML integration for autonomous robotics.
• Solid knowledge of CAD tools (SolidWorks, AutoCAD, or Fusion 360) for mechanical design.
• Strong analytical, mathematical, and problem-solving skills.
• Ability to work collaboratively in multidisciplinary teams.
• Excellent documentation and communication skills.

Education & Experience:

• Bachelor's or Master's degree in Robotics, Mechatronics, Electrical Engineering, Mechanical Engineering, or a related field.
• Experience in industrial robotics (ABB, FANUC, KUKA, UR, etc.) or autonomous robotics projects preferred.
• Relevant certifications in robotics or automation engineering are a plus.

Job Summary:

The Robotics Engineer is responsible for designing, developing, and implementing robotic systems that automate processes, improve efficiency, and enhance product quality. The role involves working with hardware and software components, programming robotic systems, and collaborating with cross-functional teams to bring innovative automation solutions to life.

Key Responsibilities:

• Design and develop robotic systems, components, and applications tailored to business or client needs.
• Create and optimize mechanical and electrical designs for robotic assemblies.
• Develop control algorithms and write code for robotic systems using programming languages such as C/C++ , Python , or ROS (Robot Operating System) .
• Integrate sensors, actuators, vision systems, and control units into functional prototypes.
• Conduct simulation, testing, and validation of robotic systems to ensure performance, accuracy, and safety.
• Collaborate with mechanical, electrical, and software engineers throughout the product development lifecycle.
• Troubleshoot and resolve issues related to robotic hardware, software, and motion control.
• Research and implement new technologies in AI, computer vision, and machine learning for intelligent automation.
• Ensure compliance with industry standards, safety regulations, and quality assurance processes.
• Document design specifications, test results, and maintenance procedures.

Key Skills & Competencies:

• Proficiency in robotics software frameworks (ROS, Gazebo, OpenCV).
• Strong understanding of mechatronics , control systems , and automation technologies .
• Experience in robot kinematics , path planning , and motion control .
• Hands-on experience with embedded systems , PLC programming , and microcontrollers (Arduino, Raspberry Pi, etc.).
• Familiarity with AI/ML integration for autonomous robotics.
• Solid knowledge of CAD tools (SolidWorks, AutoCAD, or Fusion 360) for mechanical design.
• Strong analytical, mathematical, and problem-solving skills.
• Ability to work collaboratively in multidisciplinary teams.
• Excellent documentation and communication skills.

Education & Experience:

• Bachelor’s or Master’s degree in Robotics, Mechatronics, Electrical Engineering, Mechanical Engineering, or a related field.
• Experience in industrial robotics (ABB, FANUC, KUKA, UR, etc.) or autonomous robotics projects preferred.
• Relevant certifications in robotics or automation engineering are a plus.

Build the Future of Humanoid Robotics

At gephr Labs, we're not just building robots—we're democratizing humanoid robotics for the entire world. We're looking for a talented Robotics Engineer  to join our mission of making humanoid robot development accessible to everyone through our open-source humanoid training platform.

The Opportunity

You'll be at the forefront of humanoid robotics, contributing to gephr's open-source humanoid training platform that's changing how the world trains and deploys humanoid robots. This isn't just another engineering role; it's a chance to shape technology that thousands of developers, researchers, and companies will build upon.

What makes this role special:

• Your code will be public, impactful, and used by the global robotics community
• Collaborate with an open-source community of brilliant minds
• Help define the standards for the next generation of humanoid platforms

What You'll Do

Core Responsibilities:

• Design and implement control systems for humanoid locomotion, manipulation, and balance
• Develop and optimize training pipelines for humanoid behaviours using VLAs, RL and imitation learning
• Build robust simulation environments and sim-to-real transfer workflows
• Contribute to the core gephr platform architecture—kinematics, dynamics, perception, and control
• Create comprehensive documentation, tutorials, and examples for the open-source community
• Collaborate with external contributors and maintain high code quality standards
• Debug and solve complex robotics challenges in both simulation and hardware
• Push the boundaries of what's possible with accessible humanoid robotics

What We're Looking For

Required:

• Bachelor's or Master's in Robotics, Computer Science, Mechatronics or related field
• 2+ years of hands-on experience in robotics (manipulation, locomotion, or mobile robotics)
• Strong programming skills in Python and C++
• Experience with robotics frameworks (ROS/ROS2, MuJoCo, PyBullet, Isaac, or similar)
• Solid understanding of kinematics, dynamics, and control theory
• Comfort working with Linux and command-line tools
• Passion for open source and collaborative development

Bonus Points:

• Experience with VLA models, reinforcement learning and imitation learning
• Familiarity with humanoid robots or legged locomotion
• Active GitHub profile with robotics projects
• Experience with sim-to-real transfer and hardware integration
• Knowledge of computer vision and sensor fusion
• Contributions to open-source robotics projects
• Experience with modern ML frameworks (PyTorch, JAX, TensorFlow)

Why Gephr Labs?

Impact:  Your work will be used by researchers, hobbyists, and companies worldwide. Every commit you make helps democratize advanced robotics.

Open Source First:  We believe the future of robotics is open. Full transparency, community-driven development, and standing on the shoulders of giants.

Learning Culture:  Work with cutting-edge technology daily. We encourage experimentation, rapid iteration, and learning from failures.

Flexibility:  We trust you to do great work. Remote-friendly with flexible hours because great engineering doesn't happen on a fixed schedule.

Community:  Join a passionate community of robotics enthusiasts who contribute, collaborate, and push each other to build amazing things.

The Stack

• Languages:  Python, C++, CUDA
• Frameworks:  ROS2, PyTorch, MuJoCo, NVIDIA Isaac
• Tools:  Git, Docker, CI/CD pipelines
• Hardware:  Real humanoid platforms

How to Apply

Send us:

1. Your resume
2. Your GitHub profile (we want to see your code!)
3. A brief note about:

• A robotics problem you're proud of solving
• Why you're excited about open-source humanoid robotics
• What you'd contribute to the gephr humanoid training platform

Think you're a fit but don't check every box?  Apply anyway. We value passion, curiosity, and the drive to learn just as much as experience.

Start contributing to the gephr humanoid training platform and we'll know this is your calling:

Apply at or via LinkedIn.

"The future of robotics won't be built behind closed doors—it'll be built in the open, together."

Job Description: Autonomous Navigation Specialist {robotics engineer}

Role Overview

We are seeking an experienced Autonomous Navigation Specialist  to design, develop, and optimize advanced navigation systems for autonomous vehicles, drones, and robotic platforms. The ideal candidate will have a proven track record of building robust systems that can operate independently and safely in GPS-denied and complex environments. This role requires deep expertise in algorithm development, multi-sensor fusion, and real-world deployment of navigation stacks.

Key Responsibilities

• Lead the design and implementation of Simultaneous Localization and Mapping (SLAM)  pipelines for autonomous platforms.
• Develop and optimize path planning  and motion control  algorithms to enable safe and efficient navigation.
• Integrate and calibrate diverse sensors, including IMUs, LiDARs, cameras, GNSS, and radar , into a cohesive navigation framework.
• Implement and maintain sensor fusion algorithms  (e.g., EKF, UKF, graph-based optimization).
• Conduct extensive simulation, testing, and validation  using tools like ROS/ROS2, Gazebo, CARLA, or similar platforms.
• Collaborate with hardware, perception, and AI teams to deliver end-to-end autonomous navigation solutions.
• Troubleshoot system performance in field tests and iteratively improve reliability under real-world conditions.
• Mentor junior engineers and contribute to technical roadmaps and research directions.

Required Skills & Experience

• Strong background in robotics, computer vision, or control systems  (Master’s or PhD preferred).
• 2+ years of hands-on experience  developing and deploying navigation systems for autonomous drones, robots, or vehicles.
• Deep expertise in SLAM (visual, LiDAR, or visual-inertial) , path planning , and multi-sensor fusion .
• Proficiency in C++ and Python , with extensive experience in ROS/ROS2 .
• Strong understanding of control theory, state estimation, and probabilistic robotics .
• Experience with simulation tools  (Gazebo, CARLA, AirSim, or equivalent).
• Familiarity with GPU/embedded platforms (NVIDIA Jetson, FPGA, or similar).
• Demonstrated ability to solve complex problems and deliver production-ready systems.

Preferred Qualifications

• Experience with autonomous drones (UAVs)  and ground robots (UGVs) .
• Publications or patents in navigation, robotics, or related domains.
• Hands-on experience with field testing  of autonomous navigation systems.
• Knowledge of safety standards  and regulatory requirements for autonomous systems.

What We Offer

• Opportunity to work on cutting-edge autonomous systems with global impact.
• A highly collaborative environment with hardware and AI experts.
• Growth opportunities in a fast-scaling deep-tech startup.

Job Description: Autonomous Navigation Specialist {robotics engineer}

Role Overview

We are seeking an experienced Autonomous Navigation Specialist  to design, develop, and optimize advanced navigation systems for autonomous vehicles, drones, and robotic platforms. The ideal candidate will have a proven track record of building robust systems that can operate independently and safely in GPS-denied and complex environments. This role requires deep expertise in algorithm development, multi-sensor fusion, and real-world deployment of navigation stacks.

Key Responsibilities

• Lead the design and implementation of Simultaneous Localization and Mapping (SLAM)  pipelines for autonomous platforms.
• Develop and optimize path planning  and motion control  algorithms to enable safe and efficient navigation.
• Integrate and calibrate diverse sensors, including IMUs, LiDARs, cameras, GNSS, and radar , into a cohesive navigation framework.
• Implement and maintain sensor fusion algorithms  (e.g., EKF, UKF, graph-based optimization).
• Conduct extensive simulation, testing, and validation  using tools like ROS/ROS2, Gazebo, CARLA, or similar platforms.
• Collaborate with hardware, perception, and AI teams to deliver end-to-end autonomous navigation solutions.
• Troubleshoot system performance in field tests and iteratively improve reliability under real-world conditions.
• Mentor junior engineers and contribute to technical roadmaps and research directions.

Required Skills & Experience

• Strong background in robotics, computer vision, or control systems  (Master’s or PhD preferred).
• 2+ years of hands-on experience  developing and deploying navigation systems for autonomous drones, robots, or vehicles.
• Deep expertise in SLAM (visual, LiDAR, or visual-inertial) , path planning , and multi-sensor fusion .
• Proficiency in C++ and Python , with extensive experience in ROS/ROS2 .
• Strong understanding of control theory, state estimation, and probabilistic robotics .
• Experience with simulation tools  (Gazebo, CARLA, AirSim, or equivalent).
• Familiarity with GPU/embedded platforms (NVIDIA Jetson, FPGA, or similar).
• Demonstrated ability to solve complex problems and deliver production-ready systems.

Preferred Qualifications

• Experience with autonomous drones (UAVs)  and ground robots (UGVs) .
• Publications or patents in navigation, robotics, or related domains.
• Hands-on experience with field testing  of autonomous navigation systems.
• Knowledge of safety standards  and regulatory requirements for autonomous systems.

What We Offer

• Opportunity to work on cutting-edge autonomous systems with global impact.
• A highly collaborative environment with hardware and AI experts.
• Growth opportunities in a fast-scaling deep-tech startup.

Job Summary:

The Robotics Engineer is responsible for designing, developing, and implementing robotic systems that automate processes, improve efficiency, and enhance product quality. The role involves working with hardware and software components, programming robotic systems, and collaborating with cross-functional teams to bring innovative automation solutions to life.

Key Responsibilities:

• Design and develop robotic systems, components, and applications tailored to business or client needs.
• Create and optimize mechanical and electrical designs for robotic assemblies.
• Develop control algorithms and write code for robotic systems using programming languages such as C/C++ , Python , or ROS (Robot Operating System) .
• Integrate sensors, actuators, vision systems, and control units into functional prototypes.
• Conduct simulation, testing, and validation of robotic systems to ensure performance, accuracy, and safety.
• Collaborate with mechanical, electrical, and software engineers throughout the product development lifecycle.
• Troubleshoot and resolve issues related to robotic hardware, software, and motion control.
• Research and implement new technologies in AI, computer vision, and machine learning for intelligent automation.
• Ensure compliance with industry standards, safety regulations, and quality assurance processes.
• Document design specifications, test results, and maintenance procedures.

Key Skills & Competencies:

• Proficiency in robotics software frameworks (ROS, Gazebo, OpenCV).
• Strong understanding of mechatronics , control systems , and automation technologies .
• Experience in robot kinematics , path planning , and motion control .
• Hands-on experience with embedded systems , PLC programming , and microcontrollers (Arduino, Raspberry Pi, etc.).
• Familiarity with AI/ML integration for autonomous robotics.
• Solid knowledge of CAD tools (SolidWorks, AutoCAD, or Fusion 360) for mechanical design.
• Strong analytical, mathematical, and problem-solving skills.
• Ability to work collaboratively in multidisciplinary teams.
• Excellent documentation and communication skills.

Education & Experience:

• Bachelor’s or Master’s degree in Robotics, Mechatronics, Electrical Engineering, Mechanical Engineering, or a related field.
• Experience in industrial robotics (ABB, FANUC, KUKA, UR, etc.) or autonomous robotics projects preferred.
• Relevant certifications in robotics or automation engineering are a plus.