1.76 Robotics Engineer - Multi-Robot SLAM

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.




Are you the kind of engineer who gets excited turning messy research code into robust, testable, field-deployable systems? Do you thrive working across perception, planning, and control pipelines—writing clean interfaces, debugging sensor drivers, and building the tools researchers depend on?




Field AI is looking for a Research Engineer to join our mission to develop risk-aware, reliable, and field-ready AI for autonomous robots. You’ll work across the stack—from edge-AI platforms to distributed simulation and cloud tools—enabling cutting-edge autonomy to transition from prototype to production. Whether it’s building data pipelines for multi-sensor rigs, optimizing real-time systems under hardware constraints, or designing execution layers, you’ll play a critical role in scaling our systems to real-world complexity.

What You'll Get To Do
• Build Core Robotics Infrastructure
• Develop robust middleware and tooling for ROS/ROS2-based multi-agent autonomy systems.
• Own sensor driver integration (LiDAR, IMU, cameras, GNSS, etc.) across embedded and Linux platforms.
• Architect software interfaces that make it easy to connect perception, planning, and control modules.
• Support Real-World Autonomy at Scale
• Design scalable logging, debugging, and visualization tools for live and offline analysis.
• Develop automated test harnesses and CI pipelines for simulation and hardware-in-the-loop testing.
• Create launch systems and configuration management for large-scale field deployments.
• Work Across the Full Stack
• Help bring up new robotic platforms—working closely with mechanical and electrical engineers to integrate compute, sensors, and actuators.
• Write high-performance, low-latency code for real-time decision-making systems.
• Support cloud-based infrastructure for simulation, data processing, and model deployment.
• Collaborate with Research and Product Teams
• Work alongside scientists and ML engineers to bring cutting-edge algorithms into production.
• Build abstractions that make it easier for teams to run experiments, log results, and ship features.
• Contribute to system design discussions with a strong engineering perspective focused on reliability, modularity, and observability.

What Will Set You Apart
• Experience working on autonomous robots (ground, aerial, or marine) in field environments.
• Knowledge of containerization, orchestration, and deployment tools (Docker, Kubernetes, etc.).
• Background in systems programming, real-time operating systems, or safety-critical codebases.
• Experience managing high-bandwidth data streams and synchronized multi-sensor systems.
• Familiarity with distributed simulation, digital twins, or photorealistic rendering systems.
• Exposure to mission execution layers, behavior trees, or fault-tolerant autonomy frameworks.

• Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field.

• 3+ years of experience building complex robotics or distributed systems software.

• Strong proficiency in Python and C++ (ideally modern C++ standards).

• Experience with ROS2 or similar robotic middleware systems.

• Deep familiarity with Linux-based development, networking, and real-time system constraints.

• Experience integrating hardware and software on robotic platforms.

• Comfort working across embedded, edge, and cloud compute environments.

• Obsession with code quality, system robustness, and operational excellence.

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