Intelligent Robotics Engineer
1 week ago
Are you passionate about designing and developing intelligent systems that enable machines to perceive, decide, and act in the world around them?
About the RoleWe're seeking a highly skilled Robotics Engineer with deep expertise in robot policies, task planning, computer vision, and decision-making under uncertainty. Your work will drive how autonomous systems reason about goals, decompose tasks, and adapt in dynamic environments.
You'll be a core contributor to the development of robust and efficient AI-based robot policies, working alongside experts in hardware, embedded systems, and AI software. This is a hands-on role that blends applied research with production-grade engineering.
In this position, you will develop and integrate task policies using techniques such as hierarchical planning, reinforcement learning, or hybrid methods. You will design and implement short and long-horizon planning systems for real-world robotic applications. You will also prototype and deploy scalable policy architectures that operate under tight latency and compute constraints at the Edge.
This is an excellent opportunity to contribute to the evolution of our Edge AI stack by connecting planning with low-level controls and high-level semantic reasoning. You will work with real-world and simulated sensor data to test and refine models; contribute to internal datasets and benchmarking tools.
You will participate in project planning, code reviews, and architectural discussions; take ownership of technical areas and deliver high-quality, reliable implementations. Additionally, you will stay current with trends in AI for robotics (e.g., expert and generalist policies, foundation models) and help integrate relevant advancements into our workflows.
Required Skills and Qualifications6+ years of experience in AI, robotics, or computer vision.
Bachelor's degree in a relevant field (e.g., Robotics, Computer Science, Electrical Engineering); M.S. or Ph.D. preferred.
Knowledgeable in the areas of robot locomotion, robot kinematics, and robot dynamics.
Proficient in Python, with practical experience using ROS, PyTorch, or TensorFlow.
Comfortable working with real-world sensor data (e.g., ToF, vision, IMU) and simulation tools like Gazebo, Isaac Sim, MuJoCo, OpenAI Gym, or Unreal.
Experience with DevOps/MLOps tools: Docker, CI/CD pipelines, version control (Git).
Skilled at communicating technical insights, collaborating with multi-disciplinary teams, and contributing to shared architectural decisions.
We offer a fast-paced, collaborative environment where you'll have the opportunity to solve hard problems with people who care about impact, reliability, and real-world performance.
Our team is passionate about creating truly intelligent edge systems – where sensing, learning, and acting happen in real time.
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