1.13 Mechatronics - Robotics Engineer

Field AI  is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.




About the Job




We are seeking a Mechatronics / Robotics Engineer with a passion for robot autonomy, dexterous manipulation, and robotic systems that bridge the gap between human control and autonomous intelligence. In this role, you will own the development of operator-in-the-loop interfaces (e.g., teleoperation/telepresence technology) that assists research & development of dexterous manipulation capabilities. You’ll design and prototype systems that minimize latency, integrate multimodal sensors beyond vision, and enable novel data collection pipelines to fuel cutting-edge robot learning research.

This is a unique opportunity for an engineer excited by both research and fast-paced technology development, delivering impactful systems that enable our researchers while directly shaping the future of humanoid autonomy.

What You’ll Get To Do
• 1. Build Human-in-the-loop Systems
• Implement intuitive human-in-the-loop interfaces to support R&D of dexterous manipulation tasks.
• Develop low-latency operator-in-the-loop (e.g., teleoperation/telepresence) pipelines for humanoid robot manipulation platforms.
• 2. Sensor Integration & Exploration
• Integrate multimodal sensors (vision, haptics, force, tactile, etc.) for richer telepresence.
• Explore new sensing modalities to improve operator immersion and feedback precision.
• 3. Robotics Hardware & Control
• Collaborate with hardware teams on mechatronic design supporting teleoperation and telepresence readiness.
• Design and test real-time control algorithms for reliable and responsive humanoid operation.
• 4. Data Collection for Robot Learning
• Develop systems that generate high-quality datasets for training autonomous robotic models.
• Ensure data pipelines are robust, scalable, and adaptable for research needs.
• 5. Fast Delivery & Collaboration
• Work closely with researchers to rapidly prototype and iterate on new ideas.
• Balance engineering rigor with speed to meet urgent data collection goals.

The Extras That Set You Apart
• Prior experience with humanoid robots or dexterous manipulation.
• Hands-on experience with haptics, exoskeletons, or wearable teleoperation systems.
• Background in telepresence, VR/AR, or immersive operator interfaces.
• Knowledge of reinforcement learning, imitation learning, or robot learning pipelines.
• Experience with GPU-based real-time systems and high-performance computing.
• Contributions to open-source robotics or teleoperation projects.
• Passion for bridging human-robot interaction with autonomy research.

• Bachelor’s or Master’s degree in Mechanical Engineering, Robotics, Mechatronics, or related field.

• 3+ years of hands-on experience in robotics system development (academic or industry).

• Strong background in mechatronics, electromechanical systems, and robotics hardware.

• Proficiency in robot kinematics, dynamics, and control systems.

• Experience with real-time systems and latency-sensitive applications.

• Familiarity with sensors (IMUs, force/torque, tactile, cameras) and integration methods.

• Proficiency in at least one robotics framework (ROS, ROS 2, or equivalent).

• Strong problem-solving skills and ability to rapidly prototype solutions.

• Enthusiasm for working in a fast-moving, research-driven environment.

Compensation and Benefits

Our salary range is between ($70,000 - $200,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience.  Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

Why Join Field AI?

We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.

You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field , winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.

Be Part of the Next Robotics Revolution

To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.

We are headquartered in always-sunny Mission Viejo (Irvine adjacent), Southern California and have US based and global teammates.

Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!

We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

Salary Range: $70,000 - $200,000 USD