Senior Research Engineer for RL-based Robot Navigation
vor 2 Wochen
The Opportunity
You'll join our Advanced Technology team, where we push the limits of robot autonomy and intelligence. You'll evaluate cutting-edge AI, planning, and control technologies—from novel environment perception to advanced planning—to tackle the toughest real-world deployment challenges. Collaborating with engineers and partners, you'll assess new technologies, design proof-of-concept experiments, build research prototypes, and swiftly transfer promising ideas to our product teams. Your work will shape our technology roadmap, guiding long-term strategy and ensuring every solution is robust, reliable, and ready for impact. If you thrive on discovery, hands-on experimentation, and know your research can redefine robotics, this role lets you make a real difference—for our customers and the robotics community.
Market & Technology
ANYbotics transforms industrial plants in the (renewable) energy, process, and utility sector by introducing robotics to a wide range of novel applications that so far were beyond reach. Our mobile robot ANYmal uses legs for extreme mobility in complex environments, camera- and LIDAR-based sensing for full autonomy and obstacle avoidance, to perform jobs and deliver high-quality, consistent inspection results. We develop numerous customized hardware systems, including the entire robotic platform, actuators, sensors, inspection payloads, charging systems, and all related ANYbotics electrical hardware
About Us:
ANYbotics is a leading robotics company specializing in advanced autonomous systems. With a successful Series B financing round recently closed, we are poised for rapid growth and international expansion. Our mission is to revolutionize the robotics industry through cutting-edge technology and innovation. As we embark on this exciting journey, we are seeking a dynamic and experienced to join our team and help us shape the future of robotics. Your Contributions
- Exploring, developing, and implementing cutting-edge technological advancements in robotics, machine learning, planning and control
- Identifying emerging technologies, conducting in-depth evaluations, and translating these findings into innovative products
- Developing prototypes and conducting pilot projects to test new technologies in controlled environments.
- Driving collaborations with tech startups, research institutions, and industry leaders to leverage external expertise and accelerate innovation
- Connecting with the engineering teams for the adoption and integration of new technologies into existing systems and processes, ensuring a seamless transition
- Ph.D. in Computer Science, Robotics, AI, or a related technical field, or equivalent hands-on experience in a research or advanced development setting
- Excellent expertise in modern deep reinforcement learning techniques and architectures, with hands-on experience in training and fine-tuning such systems
- Excellent at designing and deploying state-of-the-art control and planning algorithms for real-world robotics or autonomous systems
- Strong practical experience across the MLOps pipeline—from data collection and curation to training, fine-tuning, and GPU-based deployment in embedded or edge systems
- Strong in fast prototyping, concept validation, and rapid iteration—you build to learn and use experimentation as a core development tool
- Strong in self-coordination and project ownership, able to structure your work independently, align with strategic goals, and deliver meaningful outcomes
- Good programming skills in C++ and Python, with the ability to write clean, and efficient code
- Familiarity with GPU programming, with the desire to deepen knowledge and performance tuning where needed
- Excellent communication skills, with the ability to effectively share knowledge and insights
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