F

Field AI

Builds AI that guides robots through changing sites

Robotics Autonomy Engineer - Perception

Robotics & Autonomous SystemsConfirmed live in the last 24 hours
Full-time$100k - $200k /yr

About the Job

Requirements

  • A PhD in Robotics, Computer Science, Electrical Engineering, or a related field; alternatively, an MS in a related field with 2+ years of industry or applied research experience, or a BS 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 using C++ and Python, and ROS/ROS2-based systems.
  • Experience with robot perception and state estimation, including VIO, LIO, mapping, and sensor fusion.
  • 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.

Responsibilities

  • Design, implement, and maintain perception systems for autonomous robots operating in real-world environments.
  • Develop robust localization and mapping capabilities for unstructured, off-road, and field conditions.
  • Evaluate and improve perception performance through testing, iteration, and field validation.
  • Implement perception algorithms that fuse data from multiple sensors, such as LiDAR, cameras, RADAR, and inertial sensors.
  • Support integration of new sensing modalities and sensor configurations as robotic platforms evolve.
  • Ensure perception software operates reliably across simulation and real-world deployments.
  • 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 integrate perception systems into the full autonomy stack.
  • 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.
  • Work closely with engineers, researchers, and operators to define perception requirements and deliver reliable solutions.
  • Communicate technical designs, tradeoffs, and results to technical and non-technical stakeholders.
  • Support field operations and customer demonstrations by ensuring perception systems are production-ready.

Desired Qualifications

  • Experience with thermal, LWIR, or multispectral passive sensing for robotic perception.
  • Experience integrating and calibrating custom sensor rigs, such as 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 with Docker and Kubernetes, and modern DevOps practices.

About the Company

Field AI

Builds AI that guides robots through changing sites

Field AI builds autonomy software that lets mobile robots inspect and work in changing environments, including construction sites and industrial facilities. Its Field Foundation Models act as a shared control system for different machines, bringing perception, navigation and task planning together on the robot. Cameras and other sensors feed the system, while the platform sends site data into customers' project tools to track progress, record conditions and identify deviations from plans. The company sells commercial autonomy solutions and deployment services, integrating its software with robot manufacturers' equipment. Field AI was founded in 2023 and is headquartered in Irvine, California.

Company size
201-500
Company stage
Late Stage VC
Total funding
$1.1B
Headquarters
Irvine, CA
Founded
2023

Recently Posted Jobs

Explore more opportunities at Field AI

See more jobs