Field AI

Role Description At FieldAI, we’re building autonomy for robots that operate in the real world, in harsh environments, and under challenging conditions where traditional sensing breaks down. We’re looking for a Senior Robotics Perception Engineer to own and advance perception capabilities for our federal autonomy programs. In this role, you will lead development of the perception stack for robots operating in unstructured terrains, taking responsibility for performance, robustness, and deployment on new platforms and sensor configurations. You’ll work hands-on across software and hardware for integrating LiDAR, RADAR and multispectral sensing into production autonomy systems and delivering capabilities that directly support customers. What You Will Do - Build and Maintain Perception Systems - Design, implement, and maintain perception systems for autonomous robots operating in real-world environments. - Develop robust localization and mapping capabilities that perform reliably in unstructured, off-road, and field conditions. - Continuously evaluate and improve perception performance through testing, iteration, and field validation. - Develop and Integrate Sensor-Based Perception - Implement perception algorithms that fuse data from multiple sensors such as LiDAR, cameras, RADAR and inertial sensors. - Support the integration of new sensing modalities and sensor configurations as robotic platforms evolve. - Ensure perception software operates reliably across simulation and real-world deployments. - Deploy Perception Software on Real Robots - Bring perception algorithms from development to deployment on physical robotic systems. - Debug and resolve issues discovered during on-robot testing and field operations. - Collaborate with autonomy, controls, and platform teams to ensure perception systems integrate cleanly into the full autonomy stack. - Improve System Robustness and Scalability - Contribute to code quality, testing, and long-term maintainability of perception systems. - Develop tools, metrics, and tests to monitor performance and catch regressions over time. - Help scale perception solutions across multiple robots, environments, and missions. - Collaborate Across Teams - Work closely with engineers, researchers, and operators to define perception requirements and deliver reliable solutions. - Communicate technical designs, tradeoffs, and results clearly to both technical and non-technical stakeholders. - Support field operations and customer demonstrations by ensuring perception systems are production-ready. Qualifications - PhD degree in Robotics, Computer Science, Electrical Engineering, or a related field or MS degree in a related field with 2+ years of industry or applied research experience, or BS degree in a related field with 4+ years of relevant experience. - Strong background in robot perception, localization, and mapping (SLAM) for real-world robotic systems. - Hands-on experience developing and deploying perception software in field robotics environments (not just simulation). - Proficiency in modern robotics software development (C++, Python) and ROS/ROS2 based systems. - Experience working with robot perception and state estimation (VIO, LIO, mapping, sensor fusion etc). - Ability to take ownership of complex subsystems, from design through field deployment and long-term maintenance. - Comfort working close to hardware, including debugging sensor data, calibration, and real-world failures. - Strong problem-solving skills and ability to operate independently in fast-moving, small teams. Requirements - Experience with thermal, LWIR, or multispectral passive sensing for robotic perception. - Experience integrating and calibrating custom sensor rigs (e.g., stereo, thermal, or multi-LiDAR setups). - Familiarity with CI/CD pipelines, performance regression testing, and benchmarking for perception systems. - Experience aligning or unifying perception stacks across multiple platforms or product lines. - Demonstrated leadership in research, field operations, or mentoring junior engineers and researchers. - Knowledge of containerization (Docker, Kubernetes) and modern DevOps practices. Compensation The salary range for this role is $70,000-$300,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time. 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. 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 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.

• Design, implement, and deploy advanced motion planning and control algorithms that enable robots to move with precision, robustness, and efficiency across diverse environments. • Work on navigation, trajectory generation, and motion control for various robotic platforms. • Collaborate across autonomy layers to ensure seamless coordination between perception, planning, and control for robust real-world performance. • Build and maintain testing pipelines from unit-level validation to full robot deployment. • Investigate and resolve issues arising from field deployments through structured data analysis and debugging.

• 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. • 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. • Lead architectural design discussions for controller level safety layer. • Develop and implement robust low-latency safety behaviors for our vehicle fleets operating in unstructured environments. • Deploy theoretical control schemes and multi-agent behaviors onto real-world robots operating in demanding, dynamic environments. • Serve as a resident planning and controls expert, filling critical knowledge gaps and guiding technical strategy for the engineering team.

• Own a portfolio of strategic construction enterprise accounts and drive multi-year revenue growth through land, expand, and renew motions • Lead complex enterprise sales cycles from discovery through negotiation and close, engaging executives, operations leaders, and technical stakeholders • Develop account strategies that align FieldAI’s autonomy, perception, and mapping capabilities with construction business objectives and operational KPIs • Act as the primary customer owner, coordinating across solutions engineering, product, and customer success • Identify expansion opportunities across additional deployments, job sites, and construction use cases • Represent FieldAI in executive briefings, on-site meetings, and construction industry events • Provide structured customer feedback to inform product direction, packaging, and go-to-market strategy • Support and mentor other enterprise sellers as the construction GTM motion scales