882 Robotics Engineer jobs in India

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."

Title: Senior Software Engineer – Geometric Vision

Years of Experience: 4-8 years

Location: Bangalore, India

Salary: 30LPA

4+ years of work experience in a similar background (Dense/sparse 3D reconstruction, Multiview pose estimation, RGBD fusion, 3D object detection and 3D dimensioning 3D Geometry & Localization).

About the Role:

We are seeking a skilled and enthusiastic Computer Vision Engineer to play a pivotal role in

the development and implementation of advanced geometric vision algorithms, localization and

SLAM algorithms for our state-of-the-art warehouse inventory management products. This role

involves working on the development and implementation of Python-based modules and

pipelines to be deployed on both server and edge-based platforms and requires thinking out-ofthe-box to build modules that are both optimal and efficient.

Key Requirements:

• Design, development and implementation of on-board computer vision algorithms, using both classical and modern methods, meant for real-time robot localization in an indoor warehouse setting.

• Contribute to geometric vision algorithms involving 3D computer vision tasks such as dense/sparse 3D reconstruction, Multiview pose estimation, RGBD fusion, 3D object detection and 3D dimensioning.

• Implement sensor fusion techniques to integrate data from multiple sensors such as LIDAR, Cameras, IMU and ToF to enhance the accuracy and robustness of vehicle navigation.

• Strong Python programming skills with an understanding of deep learning frameworks and workflow. Responsible for conducting thorough testing and debugging of Python code, ensuring the reliability and robustness of pipeline implementations.

• Contribute to the product architecture, make decisions on sensor selections, and deploy solutions in various customer sites and gauge system efficiency on a day-today basis.

• Ownership of the development and implementation of pipelines for computer vision and machine learning algorithms and packaging software for efficiency.

• Hands-on experience in computer vision and machine learning projects, solving real world problems involving vision tasks.

• Ability to understand problem statements and implement and test new ideas under supervision.

• Maintain comprehensive documentation of code, algorithms, and pipelines.

• Capability to work collaboratively in a team and communicate effectively.

Role Level:

4+ years of work experience in a similar background (Computer Vision, 3D Geometry, Localization).

Must Have:

• Strong Python programming skills. Responsible for conducting thorough testing and debugging of Python code, ensuring the reliability and robustness of pipeline implementations.

• Strong foundation in physics and robotics systems – including ROS, 3D simulations and sensor fusion based navigation algorithms.

• Proven experience in developing Navigation and Localization algorithms for autonomous vehicles, robotics, drones, maritime vehicles or similar application

• Hands-on experience in computer vision (classical and modern), visual odometry and SLAM projects, solving real-world problems involving vision, navigation and localization tasks.

• Deep mathematical foundations with knowledge of 3D Multi-view Geometry, Advanced Linear Algebra, Numerical Optimization, etc.

• Deep insights into depth cameras and 3D data characteristics.

• Ownership of the development and implementation of modules for computer vision and packaging software for efficiency.

• Maintain comprehensive documentation of code, algorithms, and pipelines.

• Capability to work collaboratively in a team and communicate effectively.

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.