1.5 Robotics AI Engineer – Field Foundation Models & Dynamics Foundation Models
Team: Autonomy
Location: Irvine, CA
Commitment: Full time
Workplace Type: onsite
What You Will Get To Do
- Algorithm Development
- Design and implement next-generation AI-powered Field Foundation Models (FFMs) and Dynamics Foundation Models (DFMs). Pioneer risk-aware, uncertainty-driven decision-making architectures that enable autonomous robots to navigate unstructured, high-stakes environments.
- Reimagine planning algorithms, trajectory optimization, and task scheduling as a fusion of probabilistic reasoning, geometric intelligence, and adaptive AI, ensuring precise and reliable robot motion in dynamic environments.
- Software Integration and Testing
- Work extensively with ROS (Robot Operating System) to develop, test, and integrate next-gen autonomous intelligence modules modules.
- Design, implement, and test real-world and simulation- learning loops, where self-evolving models refine planning, control, and perception through real-world interaction. Conduct field tests to validate performance and optimize system behavior.
- Hands-On Robotics Deployment
- Collaborate with hardware teams to ensure seamless software-hardware integration.
- Travel to customer sites to deploy, calibrate, and fine-tune robotic systems in diverse and challenging real-world conditions.
- Cross-Team Collaboration
- Work closely with other engineering teams to align development efforts and achieve cohesive system performanc
- Communicate effectively with non-technical stakeholders to explain robotic capabilities and project progress.
What You Have
- Strong programming skills: Proficiency in Python and C++ for algorithm development and system integration.
- Proficiency in ROS (Robot Operating System): Experience developing and integrating robotic software solutions.
- Hands-On Robotics Experience: Practical experience working with autonomous robotic systems, including testing and deployment in the field.
- Understanding of Planning and Controls: Solid knowledge of path planning, control theory, and trajectory optimization.
- Ability and availability to travel: Ability and eagerness to travel to customer sites for deployments, testing, and troubleshooting (up to 30% travel).
- Excellent Communication Skills: Ability to convey complex technical concepts clearly to diverse audiences.
What Will Set You Apart
- Experience with GPU programming (CUDA C++, PyTorch) a significant plus.
- Experience with real-time systems or robotics middleware.
- Familiarity with sensor integration and perception algorithms.
- Knowledge of machine learning techniques applied to robotics.
- Exposure to industrial robotics applications in sectors like construction, mining, or manufacturing.
- Experience working in harsh or outdoor environments.
- Experience working with humanoid or legged robots.
- Advanced degree (Bachelors, Master’s) in Robotics, Computer Science, Electrical Engineering, or a related field.
- Understanding of safety standards and compliance in robotics.
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