Robotics Application Developer

Teamware Solutions; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Teamware Solutions is seeking a robotics software engineer to develop Python-based components for perception, planning and control, and to build ROS2 integrations across humanoids, quadrupeds, mobile robots and arms. You will create computer vision pipelines and contribute to embodied AI and edge deployment.

The role emphasizes hands-on implementation, simulation, hardware integration and client-facing demos, with collaboration across architecture and product teams to deliver repeatable robotics

Qualifications

• Strong hands-on Python programming for robotics, automation and AI model integration.
• Practical ROS2 experience, including nodes, topics, services/actions, and navigation/manipulation workflows.
• Working knowledge of C++ for robotics or performance-sensitive components.
• Experience with OpenCV, YOLO, depth cameras or similar perception tools.
• Exposure to embodied AI, VLMs, PyTorch or related model integration workflows.
• Experience with simulation environments like MuJoCo, Isaac Sim/Lab, URDF/MJCF.
• Understanding of robot hardware interfaces, sensors and edge devices.

Responsibilities

• Develop Python-based robotics software components for perception, planning, control, simulation and data capture.
• Build ROS2-based integrations for humanoids, quadrupeds, mobile robots and arms including sensor streams and navigation.
• Create and maintain computer vision pipelines using camera and depth sensor data and detection models.
• Integrate foundation models and robot policies into demonstrations and autonomous workflows.
• Implement edge AI and offline robot intelligence patterns with on-device processing where needed.
• Contribute to hardware integration across LiDAR, depth cameras and robot platforms.
• Participate in client-ready demos, field validation and documentation of robotics assets.
• Collaborate with architects, product and experience teams to turn concepts into reliable prototypes.

Skills

Python for robotics

ROS2

C++ for robotics

Computer vision (OpenCV, YOLO)

Embodied AI / model integration

Edge AI / offline robotics

Simulation tools (MuJoCo, Isaac Sim)

Tools

Docker

NVIDIA Jetson

URDF/MJCF

Unitree SDK

Franka Control

Git

Job description

• 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. 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

• 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.