FieldAI

Software Engineer - Mission Autonomy

FieldAI · Irvine, CA
Irvine, CA was $100K–$200K Closed
Applications are closed for this role. It was originally posted 2025-02-28. It’s no longer accepting applicants — see roles FieldAI is still hiring for →, or browse the live openings below.
Salary
$100K–$200K
Type
Full-time
Experience
5+ yr

Field AI is seeking an innovative Senior Software Engineer for Mission Autonomy to play a vital role in the development of highly advanced robotic and AI systems by designing and implementing intelligent decision-making frameworks. Your contribution is essential to advancing our autonomous robotic platforms and delivering cutting-edge AI-driven solutions to customers. This is a unique career opportunity to join a rapidly growing company and contribute to the success of enterprise clients in a dynamic, fast-paced environment.

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. Witha 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 Irvine, 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.

  • Semantic Scene Graph & Navigation: Develop and integrate a semantic scene graph world model to enable real-time spatial reasoning, context-aware mission planning, and natural language-driven robotic navigation.
  • LLM API & Mission Autonomy Integration: Design and implement API frameworks that allow Large Language Models (LLMs) to interface with robotic autonomy stacks, enabling seamless language-based mission execution and feedback handling.
  • Testing & Validation Frameworks: Maintain and expand the robotics testing framework through the development of unit and integration tests to ensure system reliability, safety, and performance.

PhD in Computer Science or a related field.

Advanced proficiency in Python programming, C++, ROS, Linux, Git

5+ years experience with product level AI software (e.g. state machines, behavior trees)

Ability to effectively and efficiently communicate with all teams

Strong problem-solving skills and proven ability to navigate complex software systems

Strong work ethic, highly self-motivated, and able to work independently while managing multiple priorities

Proficiency in C++ programming

Experience with simulation environments (e.g., Gazebo, Isaac Sim)

Experience with LLM-based decision-making frameworks in robotic systems

LLMPythonC++
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Applications closed