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AI Engineer for Edge Robotics Systems
2 weeks ago
We are seeking a Staff AI/ML Engineer to join our Edge AI team. In this role, you will be responsible for developing and integrating task policies using techniques such as hierarchical planning, reinforcement learning, or hybrid methods.
The ideal candidate will have 6+ years of experience in AI, robotics, or computer vision and a bachelor's degree in a relevant field. You will also be proficient in Python with practical experience using ROS, PyTorch or TensorFlow.
Responsibilities include:
- Developing short and long-horizon planning systems for real-world robotic applications
- Designing and implementing scalable policy architectures that operate under tight latency and compute constraints at the Edge
- Contribute to the evolution of our Edge AI stack by connecting planning with low-level controls and high-level semantic reasoning
You will work alongside experts in hardware, embedded systems, and AI software to drive how autonomous systems reason about goals, decompose tasks, and adapt in dynamic environments.
This is a hands-on role that blends applied research with production-grade engineering. You will be skilled at communicating technical insights, collaborating with multi-disciplinary teams, and contributing to shared architectural decisions.
Bonus experience includes familiarity with industrial robotics, fixed arm robots, or autonomous systems in structured environments, and contributions to open-source robotics or AI frameworks.
This is an opportunity to help create truly intelligent edge systems where sensing, learning, and acting happen in real time.
As a member of our team, you will be part of a collaborative environment that solves hard problems with people who care about impact, reliability, and real-world performance.