2.92 Autonomy 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.

We are looking for an Autonomy Engineer with strong expertise in developing and evaluating perception and navigation capabilities for autonomous systems. In this role, you'll focus on advancing methods that help autonomous platforms understand and operate in challenging environments.

• Develop algorithms to assess environmental conditions and support autonomous decision-making
• Design evaluation frameworks to measure the performance of perception and navigation systems
• Integrate and analyze multi-sensor data to enhance situational awareness and risk assessment
• Create systematic approaches to validate and improve system predictions across diverse operating scenarios
• Collaborate across perception, planning, and controls to develop benchmarks and metrics for system-wide performance
  

• 3 years of industry experience or a Master’s degree in Robotics, Computer Science, or a related field
• Hands-on experience with autonomous systems, including perception, planning, system integration, and reliability evaluation
• Practical experience with simulation tools and methods for autonomy testing and validation
• Familiarity with collaborative development workflows, including version control, automated testing, and cloud-based environments
• Strong analytical skills for interpreting test data and optimizing algorithms
  

• Experience deploying autonomous systems in real-world environments
• Background in building large-scale datasets for system evaluation
• Understanding of uncertainty modeling in environmental perception
• Contributions to open-source projects or research in autonomous systems evaluation
  

Compensation and Benefits

Our salary range is generous ($70,000 - $300,000 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, martial status, mental or physical disability, or any other legally protected status.