Chief Expert Robotics

At Bosch Research, we pioneer cutting-edge AI algorithms for high-impact industrial applications, from automated driving to intelligent agentic systems. Our innovations are the foundation for high-performance, robust, and safe AI solutions across the Bosch Group. Join us as a Chief Expert in Robotics and shape the future of autonomous systems.

Responsibilities

Drive End-to-End Robotics Deployment: lead the technical implementation and architecture of advanced robotic systems by translating complex algorithms into reliable, production-ready hardware and software solutions; Take physical robots from the concept and laboratory stage directly into real-world operating environments, whether in manufacturing, logistics, or field applications; Strategic Technology Leadership: define and drive the long-term robotics research roadmap by identifying emerging technologies in perception, manipulation, motion planning, and AI/ML; Make key decisions regarding system architecture, hardware-software co-design, and make-or-buy strategies; Foster Agile & Pragmatic Engineering Culture: foster a fast-paced, startup-like prototyping culture focused on rapid iteration, fail-fast principles, and continuous testing on physical hardware; Mentor and coach researchers across multiple disciplines, including mechanical engineering, electronics, software engineering, and artificial intelligence; Stakeholder & Ecosystem Collaboration: work closely with business units, product managers, and external partners to ensure robotics innovations solve real customer needs and deliver a clear ROI; Scout and collaborate with leading robotics startups, venture partners, and academic institutions to integrate state-of-the-art technologies

Requirements

Completed Master's degree or PhD in Robotics, Mechatronics, Computer Science, Electrical Engineering, or equivalent professional experience (minimum 8+ years in robotics/autonomous systems development); Minimum 8+ years of professional experience in robotics and autonomous systems, with demonstrated success in building or deploying advanced physical AI/robotic systems in production environments; Proven background in robotics organizations, including startups, scale-ups, or innovation-focused teams; Deep technical expertise in core robotics technology stacks (e.g., ROS/ROS 2, modern C++, Python, Linux/RTOS); Hands-on experience with GPU-accelerated simulation tools (e.g., NVIDIA Isaac Sim/Lab, MuJoCo) and teleoperation/data collection pipelines; Practical experience with modern robotic learning methodologies (Imitation Learning, Diffusion Policy, ACT, Reinforcement Learning, or Foundation Models including VLMs/VLAs); Demonstrated knowledge of perception and state estimation techniques (sensor fusion, SLAM, 3D vision, LiDAR/camera calibration); Expertise in manipulation and grasping systems (end-effectors, tactile sensing, teleoperation); Professional experience with Hardware-in-the-loop (HIL) testing, safety protocols, and design for reliability; Demonstrated ability to diagnose and resolve complex technical challenges across full-stack systems, from electrical and CAN bus issues on physical robots to software race conditions and edge cases; Proven ability to communicate complex technical concepts effectively to executive leadership, customers, and cross-functional teams; Track record of implementing iterative prototyping methodologies that enable rapid development cycles; Fluent written and spoken English

Benefits

Health, dental, and vision plans; Health savings accounts (HSA); Flexible spending accounts; 401(K) retirement plan with an attractive employer match; Wellness programs; Life insurance; Long term disability insurance; Paid time off; Parental leave