Field AI is transforming how robots interact with the real world by building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. The company is charting a new course beyond typical data-driven approaches or pure transformer-based architectures, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. The Research Engineer will play a key role in pushing the frontiers of development of robotics foundation models designed to be embodiment agnostic, with initial efforts focused on humanoid platforms, steering the frontiers of robotics research toward practical, real-world use cases and ensuring breakthroughs in humanoid manipulation translate into scalable autonomy for robots of diverse forms.
Requirements
- Expertise in robot kinematics, dynamics, and control, particularly for manipulation.
- Strong software development skills in C++ and/or Python, with experience in robotics middleware (ROS, ROS 2, or similar).
- Track record of implementing and evaluating robotic systems in real-world environments.
- Experience with humanoid robots or multi-fingered robotic hands.
- Prior work in learning-based manipulation (imitation learning, reinforcement learning, etc.).
- Familiarity with teleoperation systems and human-robot interaction.
- Experience with large-scale data collection and dataset management.
Responsibilities
- Advance Humanoid Manipulation Research & Development
- Design, prototype, and evaluate manipulation strategies across diverse tasks.
- Build Systems that Bridge Research & Deployment
- Translate research insights into working robotic systems for real-world use.
- Drive Robotics Foundation Model Development
- Contribute to large-scale data collection and learning pipelines powering foundation models.
- Ensure model development remains embodiment agnostic, enabling transfer across diverse robotic platforms.
Other
- Bachelor’s, Master’s, or PhD in Robotics, Computer Science, Mechanical Engineering, or related field.
- 2+ years of hands-on experience in robotics manipulation (academic or industry).
- Strong problem-solving mindset, able to thrive in fast-moving, collaborative teams.
- Passion for tackling challenging problems and the courage to challenge the status quo.
- Publications or open-source contributions in robotics conferences/journals.
