The Opportunity

We are looking for a hands-on Staff Robotics & Embodied AI Engineer to build next-generation robotics and intelligent physical AI experiences for enterprise innovation programmes. The role will focus on developing Python-led robotics applications, ROS2-based integration, computer vision pipelines, embodied AI workflows and simulation-to-hardware validation for humanoids, quadrupeds, mobile robots and manipulators.

You will be responsible for executing tasks with increasing autonomy, applying sound judgment within defined parameters, and contributing to team outcomes. You are expected to demonstrate initiative, resolve routine issues independently and support junior colleagues.

You will anticipate and identify risks within engagements and share any issues with senior members of the team. In line with EY's commitment to quality, you'll confirm that work is of high quality and is reviewed by the next-level reviewer.

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 present technical 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 secure human-robot interaction, demo readiness, fallback design and operational constraints in physical AI deployments

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Tech S and T- Robotics Engineer-Senior-G (Bengaluru)
🏢 EY
📍 Bengaluru