Remote Amazon Packaging Jobs in Riverside, CA (NOW HIRING)

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.
As a ROS Developer, you will play a critical role in developing advanced robotic applications built on our autonomy API for diverse real-world industries, including oil & gas, construction, and mining. You will focus on designing, implementing, and optimizing perception, localization, and control modules using ROS/ROS2 to create production-grade software for autonomous systems operating in some of the world's harshest environments. This role is ideal for engineers passionate about sensor integration, robust system development, and deploying scalable autonomy solutions tailored to high-impact industrial applications.
What You Will Get To Do

• Develop and maintain ROS/ROS2 packages for robotic autonomy, including navigation, mapping, and control.
• Integrate and calibrate multi-modal sensors (LiDAR, thermal, RGB, GPS, IMU) for use in autonomous missions.
• Help in building autonomy APIs that allow modular interfacing with SLAM, path planning, and mission logic.
• Implement and optimize real-time data processing pipelines using C++ and Python.
• Collaborate with perception engineers on integrating AI-driven insights for robotic decision-making.
• Design and test autonomous behavior on physical platforms in real-world field scenarios.
• Troubleshoot robotic systems at the hardware-software interface and develop diagnostics and recovery systems.

What You Have

• Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or a related technical field.
• Strong software engineering skills, with proven experience building production-quality robotics applications.
• Expertise in C++ and Python, writing clean, efficient, and maintainable code using modern best practices.
• Hands-on experience developing with ROS/ROS2, including designing, building, and deploying custom nodes into complex robotic systems.
• Solid understanding of localization, SLAM, sensor fusion, and navigation systems.
• Familiarity with sensor integration (LiDAR, thermal, RGB, depth, GPS, IMU) and multi-modal data handling.
• Practical experience with state estimation frameworks and real-time data processing pipelines.
• Comfortable working with system-level topics like networking, inter-process communication (IPC), and middleware.
• Strong problem-solving skills and attention to detail, able to work independently while managing multiple priorities.
• Highly self-motivated, with excellent written and verbal communication skills and a strong collaborative mindset.

What Will Set You Apart

• Experience deploying robotic software in production environments (construction, mining, oil & gas, or similar industries).
• Familiarity with noisy sensor data and building robust, resilient algorithms.
• Experience integrating robotic systems with web services, APIs, and cloud infrastructure.
• Background in working with computationally constrained platforms and optimizing for real-time performance.

Compensation and Benefits
Our salary range is between ($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 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.