Robotics Team Lead Engineer

Custom Software Engineer

Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Industry X Robotics
Good to have skills : Machine Learning (ML), Computer Vision, Navigation & Autonomy, ROS2 Developer
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
We blend advanced robotics engineering, AI simulation, and digital twin technologies to build next-generation autonomous and intelligent robotic systems. Leveraging platforms like NVIDIA Omniverse, Isaac Sim, and Physical AI capabilities, we design, train, and deploy robotics solutions that operate efficiently in complex industrial and real-world environments.

We are seeking a Robotics Team Lead (CL9) who can drive hands-on technical development, mentor engineers, and lead end-to-end robotics solution delivery. The ideal candidate brings 5+ years of overall industry experience and 2+ years of hands-on ROS/ROS2 experience, with strong practical skills in perception, navigation, autonomy, and machine learning for robotics—and a track record of technically leading development teams.

Roles & Responsibilities:
Lead and mentor a robotics development team, providing hands-on technical guidance on ROS Developer and reviewing deliverables
Design and implement robotics solutions using simulation platforms such as NVIDIA Omniverse, Isaac Sim, and MuJoCo
Develop perception modules using computer vision, 3D point cloud processing, and sensor fusion techniques
Implement motion planning, SLAM, navigation, and robot control algorithms for mobile and collaborative robots
Build and optimize AI/ML models (DL/RL) for robotic autonomy and deploy them on edge/embedded platforms
Develop robotics software in Python and C++ using ROS2 and modern CI/CD practices
Integrate advanced AI models (LLMs/VLMs, world models) into robotics workflows for perception and decision-making
Collaborate with cross-functional global teams and support client workshops, demos, and solution documentation
Drive technical execution for POCs, pilots, and scalable robotics deployments

Professional & Technical Skills:

Must Have:
5+ years of overall industry experience with 2+ years of hands-on ROS/ROS2 development experience
Bachelor's or Master's degree in Robotics, Mechatronics, Computer Science, or a related engineering field
Strong hands-on proficiency with ROS/ROS2—including node architecture, topic/service/action design, and robotics middleware integration
Proficient in Python and C++ with modern development practices (clean code, Git, CI/CD, modular architectures)
Solid understanding of robot kinematics, dynamics, motion planning, SLAM, and control algorithms
Practical experience with simulation tools such as Isaac Sim, NVIDIA Omniverse, Gazebo, Webots, or MuJoCo
Hands-on experience in Computer Vision and Machine Learning for robotics (object detection, segmentation, DL/RL model development and deployment)
Experience in Navigation & Autonomy: path planning, SLAM, obstacle avoidance, and autonomous mobile systems
Applied knowledge of LiDAR, depth cameras, stereo vision, IMUs, and sensor fusion methodologies
Demonstrated ability to technically lead and upskill a development team in a delivery environment

Good to Have:
Experience with humanoids, cobots, AMRs, quadrupeds, or aerial robotics platforms
Exposure to foundation models, world models, and generative AI applied to robotics autonomy or simulation
Knowledge of Isaac Sim extensions, Triton Inference Server, GPU-accelerated robotics workflows, or FVDB
Familiarity with digital twin solutions and industrial robotics applications
Prior experience working in Agile delivery environments
Strong communication, stakeholder management, and client presentation skills

Additional Information:
This position is based at our Bengaluru office.
A 15 years full time education is required.