Senior Research Engineer for RL-based Robot Navigation & Control

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

Your Profile

• 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