Senior AI Research Engineer in Visual Perception

ANYbotics is a fast-growing tech company dedicated to shaping the future of mobile robotics across multiple industries. Join our highly talented and motivated team of more than 200 people and work on cutting‑edge robot technology.

You’ll join our Robotics & AI team, where we push the limits of robot autonomy and intelligence. You’ll evaluate cutting‑edge AI, machine‑learning, and sensing technologies—from novel 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.

ANYbotics transforms industrial plants in the renewable energy, process, and utility sectors 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.

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 revolutionise the robotics industry through cutting‑edge technology and innovation.

• Exploring, developing, and implementing cutting‑edge technological advancements in robotics, machine learning and computer vision
• 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 engineering teams to adopt and integrate new technologies into existing systems and processes, ensuring a seamless transition

• Ph.D. in Computer Science, AI, Robotics or a related technical field, or equivalent hands‑on experience in a research or advanced development setting
• Excellent at designing and deploying state‑of‑the‑art computer vision and AI perception models for real‑world systems
• Strong expertise in modern deep‑learning techniques, including transformer‑based architectures and large‑scale vision models, with hands‑on experience training and fine‑tuning such systems
• Strong track record of implementing and evaluating advanced AI algorithms for perception and sensing in real‑world scenarios
• 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
• Expertise 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
• Strong programming skills in C++ and Python, with the ability to write clean and efficient code
• Good familiarity with GPU programming, with the desire to deepen knowledge and performance tuning where needed
• Experienced in leading R&D initiatives or small cross‑functional teams, with a focus on transferring promising ideas into impactful products
• Excellent communication skills, with the ability to effectively share knowledge and insights

• Experience in robotics