Embodied AI Engineer (Humanoid Robotics)_RBCN
At a glance
Mid-level AI Engineering role at Bosch Group. Shanghai · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build robot applications for industrial proofs of concept and pilot projects, then tailor behaviors to customer workflows
- Shape task pipelines for material handling, inspection, logistics and assembly, connecting robots to production systems and equipment
- Tune perception, manipulation and planning so robots detect objects, estimate poses, grasp and sequence tasks more reliably
- Connect robot SDKs, ROS2, vision systems and AI services with MES/WMS and industrial equipment
- Run factory and site acceptance tests, review field data, troubleshoot deployments and work with platform vendors on software issues
What you bring
- At least three years in robotics software, AI applications or robot deployment
- A bachelor's or master's degree in robotics, computer science, AI, electrical engineering or a related discipline
- Hands-on experience with ROS or ROS2, plus strong Python or C++ programming ability
- Understanding of robot perception, manipulation and task planning, with familiarity in computer vision, machine learning or AI model deployment
Who this fits
This mid-level role suits you if you want to adapt commercial humanoid platforms for customer applications rather than develop core locomotion or control algorithms. You’ll work across robotics, AI, perception and industrial automation, including commissioning and troubleshooting at customer sites. The role is based onsite in Shanghai.
From the employer
Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.
We are seeking an Embodied AI Engineer to enable the successful deployment of humanoid robots in industrial environments. Rather than developing the robot's core locomotion or control algorithms, this role focuses on adapting, configuring, and optimizing commercially available humanoid robot platforms for customer-specific applications with core competences in Embodied AI.
You will work at the intersection of robotics, AI, perception, and industrial automation, transforming generic robot capabilities into reliable, production-ready workflows through algorithm tuning, application development, and system integration.
Key Responsibilities
Application Development
- Develop robotic applications for industrial PoC and pilot projects.
- Configure humanoid robot behaviors for customer-specific workflows.
- Design and optimize task execution pipelines for material handling, inspection, logistics, assembly, and other industrial use cases.
- Integrate robot capabilities with customer production systems and external equipment.
Algorithm Adaptation & Optimization
- Fine-tune perception, manipulation, and task-planning algorithms to improve application performance.
- Optimize object detection, pose estimation, grasp planning, navigation parameters, and task sequencing.
- Configure AI models, perception pipelines, and robot behavior parameters to meet customer requirements.
- Improve system robustness, repeatability, and task success rates through iterative testing and validation.
AI & Robotics Integration
- Integrate robot SDKs, ROS2 packages, vision systems, and AI frameworks.
- Develop interfaces between humanoid robots, AI services, MES/WMS systems, and industrial automation equipment.
- Support deployment of multimodal AI, LLM-based task planning, and intelligent robot workflows where applicable.
Validation & Deployment
- Conduct factory acceptance tests (FAT), site acceptance tests (SAT), and customer trials.
- Analyze field data and identify opportunities for continuous improvement.
- Collaborate with robot platform vendors to resolve software and integration issues.
- Support onsite commissioning and technical troubleshooting.
Required Qualifications
- Bachelor's or Master's degree in Robotics, Computer Science, Artificial Intelligence, Electrical Engineering, or a related field.
- 3+ years of experience in robotics software, AI applications, or robot deployment.
- Experience with ROS or ROS2.
- Strong programming skills in Python and/or C++.
- Understanding of robot perception, manipulation, and task planning.
- Familiarity with computer vision, machine learning, or AI model deployment.
- Strong analytical and debugging skills.
Preferred Qualifications
- Experience deploying humanoid, mobile, or collaborative robots.
- Experience with perception frameworks such as OpenCV, YOLO, or other deep learning-based vision systems.
- Familiarity with robot SDKs and motion planning frameworks (e.g., MoveIt).
- Experience integrating AI models, LLMs, or vision-language models into robotic applications.
- Experience working in manufacturing or industrial automation environments.
- Knowledge of industrial communication protocols such as OPC UA, MQTT, Modbus, or EtherCAT.
Core Competencies
- Robotics Application Development
- Embodied AI Deployment
- Perception & Manipulation Optimization
- Robot Behavior Configuration
- AI Workflow Integration
- Industrial Solution Delivery
- Customer-Centric Problem Solving