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.

, 15 years full time education