Advanced Robotics Engineer- Robot Manipulation
About the positionResponsibilities• Develop Next-Generation Automated Cells: Design and implement advanced automated cell architectures and optimize robot arms for efficient handling of diverse items. • Software Engineering: Create and maintain high-quality software for robot control, motion planning, and automation, ensuring seamless integration between hardware and software components. • Deep Learning Integration: Integrate modern deep learning techniques, including Reinforcement Learning, to enhance robotic manipulation capabilities and optimize decision-making processes.• System Integration: Combine planning and perception systems to develop robust automation solutions capable of handling millions of items with high accuracy and reliability. • Testing and Optimization: Conduct rigorous testing and optimize algorithms to improve the efficiency, speed, and scalability of robotic operations. • Collaboration and Mentorship: Work with cross-functional teams and mentor junior engineers to foster a culture of continuous learning and improvement. • Innovation and Research: Stay updated with the latest advancements in robotics and propose innovative solutions to enhance the performance and capabilities of automated cells.• Simulation: Develop and maintain massively parallelized simulation environments to test and validate robotic manipulation systems under diverse conditions. Requirements• Education: Bachelor's or Master's degree in Robotics, Computer Science, Electrical Engineering, or a related field. A Ph.D. and/or a publication record in top-tier robotics, automation, and machine learning conferences and journals is a plus. • Experience: Minimum 3 years in robotics engineering with a focus on software development for robotic manipulation, including programming robot arms and developing automated cell systems.• Technical Skills: Proficiency in one modern programming language (C++, C#, Python); strong understanding of motion planning, kinematics, and dynamics in robotic systems; experience with deep learning frameworks like PyTorch or JAX. • System Integration & Automation: Ability to integrate perception systems with planning and control stacks, creating robust and scalable end-to-end automation solutions. Knowledge of industrial automation standards and control systems, including PLC programming is a plus.• Problem-Solving: Excellent analytical and troubleshooting skills to address complex engineering challenges effectively. • Collaboration & Mentorship: Strong teamwork and communication skills, capable of working in multidisciplinary environments and mentoring junior engineers. • Advanced Data-Driven Techniques & Scalability: Experience with data-driven motion planning approaches such as reinforcement learning, diffusion processes, or LLM integration applied to robotics. Proven ability to design scalable systems that handle growing data volumes and improve robot manipulation performance.• Innovation: Track record of implementing innovative solutions that enhance system performance and reliability. Apply tot his job