What are the responsibilities and job description for the Senior Robotics Engineer (Federal) position at FieldAI?
Who are We?
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.
Learn more at https://fieldai.com.
About the Job
At FieldAI, we build autonomous robotic systems that operate in demanding, real-world environments where tight integration between hardware and software is critical. We’re looking for a Senior Robotics Engineer to lead the design, implementation, and deployment of advanced control systems and collaborative behaviors for our autonomous vehicle fleet. In this role, you will serve as a key planning and controls expert, solving complex challenges involving operating in unstructured environments. You will own the evaluation and implementation of advanced control schemes, ensuring computationally constrained systems operate reliably across new and existing robotic platforms. Furthermore, you will drive the development of multi-agent operations and fleet coordination behaviors. This is a highly impactful role for an engineer with deep expertise in control theory and multi-agent autonomy who can translate advanced research into robust, field-ready solutions.
1. Vehicle Planning and Control
Identify and model the dynamic behavior of autonomous vehicles to establish accurate baselines for motion planning.
Adapt and train control models to transition between diverse vehicle platforms.
Develop, optimize, and implement robust control stacks across the fleet to ensure safe and reliable operations.
2. Advanced Controller Design and Implementation
Evaluate advanced control schemes for varying vehicle architectures.
Design and implement computationally efficient control and planning algorithms tailored to the hardware and compute limitations.
Verify and validate new control schemes directly on physical robots, overcoming bottlenecks when porting controllers to new platforms.
3. Multi-Agent Autonomy and Collaboration
Lead architectural design discussions for heterogeneous multi-agent robotic operations and fleet coordination.
Develop and implement robust collaborative behaviors for our vehicle fleets operating in unstructured environments.
Execute, test, and deploy multi-agent behaviors to ensure the timely delivery of capabilities for key customer milestones.
4. Field Robotics Integration and Testing
Deploy theoretical control schemes and multi-agent behaviors onto real-world robots operating in demanding, dynamic environments.
Leverage deep domain expertise in off-road field robotics to ensure software robustness against unpredictable terrain and environmental conditions.
Bridge the gap between advanced multi-agent research and practical, reliable product development for real-world deployments.
5. Technical Leadership and System Scalability
Serve as a resident planning and controls expert, filling critical knowledge gaps and guiding technical strategy for the engineering team.
Lead the effort to generalize highly specific robot controllers, ensuring new robots can be brought online quickly and efficiently.
Ensure the timely delivery of critical autonomy capabilities to fulfill broader company goals, operational promises, and customer contracts.
What You Have
Ph.D. in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a related field with a focus on planning, controls, or multi-agent systems; OR an MS degree in a related field with 3 years of relevant industry experience.
Deep expertise in modern control theory, specifically with predictive and sampling-based control methodologies (such as MPC and MPPI), and vehicle dynamics modeling.
Proven experience designing, implementing, and testing multi-agent autonomy behaviors (e.g., convoying, formation control, or heterogeneous fleet coordination).
Hands-on experience deploying complex control and planning algorithms onto physical robots, rather than just in simulation.
Experience working with large-scale or off-road autonomous vehicles operating in unstructured, real-world environments.
Strong ability to design and implement computationally constrained control schemes tailored to the compute limitations of embedded robotic platforms.
Ability to verify, validate, and debug complex control architectures, overcoming system-level bottlenecks when adapting software to new vehicle platforms.
Strong ownership mindset with the ability to serve as a resident technical expert, bridging the gap between advanced autonomy research and reliable product deployment.
The Extras That Set You Apart
Experience with field robotics, off-road vehicles, or high-speed / safety-critical robotic systems.
Background in control theory, including classical and learning-based controllers.
Experience with low SWaP (Size, Weight, and Power) robotic platforms.
Prior ownership of system integration or technical leadership for a robotic platform.
Experience mentoring junior engineers or leading integration efforts in small teams.
Familiarity with autonomy stacks, planning systems, or real-time robotics software architectures.
Knowledge of containerization (Docker, Kubernetes) and modern DevOps practices.
This position is for our FieldAI Federal Team. This team works on projects connected to the U.S. government which requires U.S. Person eligibility. A U.S. Person as defined by 22 C.F.R §120.62 includes U.S. Citizen, U.S. National, lawful permanent residents (green card holders) refugee or asylee.
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.
Salary : $70,000 - $300,000