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1.82 Robotics Software Engineer: Sensor Calibration image - Rise Careers
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1.82 Robotics Software Engineer: Sensor Calibration


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


Field AI is seeking a passionate robotics software engineer to play a vital role in the development of advanced sensor calibration algorithms. In this role, you will work with a variety of sensors used for robot perception, such as camera, LiDAR and IMU, and focus on designing and optimizing workflows for intrinsic, extrinsic and temporal calibration methods in online and offline settings. The ideal candidate will not only have a deep understanding of sensor models and calibration algorithms but also the ability to deliver high-quality, maintainable production code. Your contribution is essential to help us reliably deliver the products to customers and ensure our continued growth and value.


What You Get To Do
  • Develop and refine sensor calibration workflows for various sensor modalities (e.g., LiDAR, cameras, IMUs), including intrinsic, extrinsic and temporal calibration in online and offline settings.
  • Design and implement scalable systems to manage and process large sensor datasets for calibration purposes, ensuring high reliability and performance.
  • Implement and optimize algorithms in C++ and Python, maintaining a clean and organized code base.
  • Explore and integrate emerging technologies and tools to enhance sensor calibration workflows.
  • Collaborate with cross-functional teams to meet project-specific documentation requirements and deliverables.


What You Have
  • Master’s degree or Ph.D. in Computer Science, Engineering, or a related field.
  • 3+ years of work experience as a robotics software engineer, with expertise in robotics, computer vision and sensor calibration.
  • Proficiency in C++ and Python, with a proven ability to write maintainable and efficient code.
  • Solid background knowledge of 3D geometry, computer vision and robot kinematics (e.g., transformation matrices).
  • Solid understanding of sensor calibration techniques (e.g., camera intrinsic calibration, LiDAR-IMU calibration, multi-sensor extrinsic calibration).
  • Hands-on experience with sensor data processing tools and libraries such as PCL, Open3D, OpenCV, Kalibr, etc.
  • Familiarity with Robot Operating System (ROS) and software development practices in Ubuntu.
  • Familiarity with fiducial marker systems (e.g., AprilTags, ArUco) for calibration pipelines.
  • Familiarity with backend optimization tools and libraries such as Ceres, GTSAM, g2o.
  • Strong problem-solving skills, attention to detail, and able to work independently while managing multiple priorities.
  • Strong work ethic, highly self-motivated, and excellent written and verbal communication skills.


The Extras That Set You Apart:
  • Research experience with publications in top-tier conferences or journals related to robotics, computer vision or machine vision.
  • Familiarity with factory-level calibration procedures and tooling for high-volume product lines (e.g., drones, autonomous vehicles, AR/VR devices).
  • Work experience leading or mentoring a dedicated sensor calibration team in a high-throughput R&D or production environment.
  • Hands-on experience calibrating hundreds of camera intrinsics or camera-LiDAR systems at scale, including automated or semi-automated workflows.


Our salary range is generous and 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. 


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, martial status, mental or physical disability, or any other legally protected status.

Average salary estimate

$145000 / YEARLY (est.)
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$120000K
$170000K

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Full-time, hybrid
DATE POSTED
July 31, 2025
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