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Transforming industrial operations through physically embodied robotic AI and superhuman autonomy.
The Role
Job Title: Robotics Engineer
Location: Tokyo, Japan
(Office-Based) Frequent Nationwide Travel Required
Job Type: Full-time
Who are We?
FieldAI is transforming how robots interact with the real world. We are building risk-aware, dependable, 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.
Learn more at https://fieldai.com.
About the Job
- We are seeking a Robotics Engineer with strong system-level understanding, debugging proficiency, and the ability to contribute to both deployment support and algorithm development. The ideal candidate can navigate a robotics stack, perform data-driven root-cause analysis, and collaborate with developers to enhance the performance of perception, planning, and control modules. A Master’s degree in Robotics, Computer Science, Electrical Engineering, or a related field is preferred.
What You'll Get To Do
- Develop a deep understanding of the robotics software stack (perception, localization, planning, control).
- Perform detailed data reviews and log analysis to identify, reproduce, and pinpoint technical root causes across software and hardware layers.
- Manage Git branch structures and deployment pipelines, ensuring reliable code integration, release preparation, and rollback capability.
- Collaborate with core developers to propose and implement algorithmic improvements to navigation, perception, and control systems.
- Support field testing and simulation validation by analyzing performance regressions and verifying fixes.
- Build and maintain internal debugging, visualization, and diagnostic tools for multi-sensor and multi-node environments.
- Contribute to structured release documentation, regression reports, and field data reviews.
What You Have
- BS in Robotics, Computer Science, Electrical, or Mechanical Engineering with 2+ years of experience, or MS in a related field.
- Strong programming proficiency in C++ and Python.
- Experience with ROS/ROS2, and debugging tools (rosbag, rviz, rqt, tf).
- Proficiency with Git workflows (feature, develop, release, hotfix branches) and CI/CD integration.
- Familiarity with Linux development environments and build systems (CMake).
The Extras That Set You Apart
- Master’s degree in Robotics or related field.
- Experience contributing to core robotics algorithms, such as SLAM, path planning, traversability estimation or control.
- Familiarity with sensor fusion, state estimation, and multi-sensor synchronization (LiDAR, IMU, camera).
- Understanding of optimization, reinforcement learning, or motion planning algorithms (A*, RRT, MPC).
- Experience with system profiling and runtime debugging (GDB, perf, valgrind).
Compensation
The salary range for this role is dependent upon experience. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time.
Field AI Onsite Work Philosophy
At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Mission Viejo, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance.
We are dedicated to fostering a diverse and inclusive workplace and encouraging applicants from all backgrounds to apply.
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The Company
What We Do
FieldAI is pioneering the development of a field-proven, hardware agnostic brain technology that enables many different types of robots to operate autonomously in hazardous, offroad, and potentially harsh industrial settings – all without GPS, maps, or any pre-programmed routes.
