Robotics Application Developer

Your Key Responsibilities

• Develop Python-based robotics software components for perception, planning, control, simulation, data capture and robot action orchestration.

• Build ROS2-based integrations for humanoids, quadrupeds, mobile robots and robotic arms, including sensor streams, navigation, manipulation and command execution.

• Create and maintain computer vision pipelines using cameras, depth sensors, object detection, visual question answering or scene-understanding models.

• Support embodied AI and VLA workflows by integrating foundation models, VLMs, robot

policies and low-level controllers into demonstrable robotics solutions.

• Develop simulation-to-real validation layers using MuJoCo, Isaac Sim/Lab, URDF/MJCF

assets and hardware-test feedback loops to reduce physical testing risk.

• Implement edge AI and offline robot intelligence patterns, including on-device

speech, perception, action dispatch and robotics demonstrations without cloud

dependency where required.

• Contribute to robot hardware integration across LiDAR, depth cameras, Jetson devices,

Unitree SDK, Franka controls and related robotics interfaces.

• Participate in client-ready demos, field validation, troubleshooting, documentation and

continuous improvement of robotics engineering assets.

• Work with architects, product teams and experience teams to convert concept

narratives into reliable, safe and repeatable robotics demonstrations or prototypes.

• Follow strong engineering discipline including code reviews, version control, Docker-

based reproducibility, issue tracking, safety checks and technical documentation.

Skills and attributes for success

Must-have robotics and AI engineering skills

• Strong hands-on Python programming for robotics, automation, AI model integration, computer vision and system orchestration.

• Practical ROS2 experience, including nodes, topics, services/actions, robot control workflows, navigation or manipulation integration.

• Working knowledge of C++ for robotics or performance-sensitive integration components.

• Experience with computer vision and perception frameworks such as OpenCV, YOLO, depth cameras or similar robot perception tools.

• Exposure to embodied AI, VLM/VLA models, PyTorch, HuggingFace or related model integration workflows.

• Experience with simulation tools such as MuJoCo, Isaac Sim/Lab, URDF/MJCF or equivalent robotics validation environments.

• Understanding of robot hardware interfaces, sensors, robot SDKs, edge devices and deployment troubleshooting.

Delivery, collaboration and quality attributes

• Ability to break down ambiguous robotics concepts into working prototypes, demonstrable workflows and repeatable engineering assets.

• Strong problem-solving discipline across field testing, hardware debugging, perception issues, calibration challenges and deployment validation.

• Comfortable collaborating with experience designers, AI engineers, hardware teams, architects and client stakeholders.

• Strong ownership, documentation and communication skills, with the ability to presenttechnical work through live demonstrations.

Ideally, you'll also have

• Experience with Unitree G1/GO2/A2, Franka Research 3, Agilex, Jetson Orin or similar robotics platforms.

• Exposure to NVIDIA GR00T, SpatialVLA, OpenVLA, RT-2, ACT, Moondream, LLM-enabled robotics or foundation-model-based robot control.

• Experience in offline AI patterns, edge AI deployment, on-device NLP, VLM- powered perception and robotics applications with limited or no internet dependency.

• Experience creating client-facing prototypes or live robotics demonstrations for enterprise innovation centres, labs or experience centres.

• Awareness of safe human-robot interaction, demo readiness, fallback design and operational constraints in physical AI deployments.