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Listed location: Irvine, CA
Work arrangement: onsite. A remote label does not confirm worldwide eligibility or visa sponsorship.
Read the employer’s description for qualifications, compensation and work eligibility. Confirm the position is still open on the application page.
Job description supplied by Field AI; category and skill labels may be inferred. How our listings work · Report a problem
Job Description
- Sensor Architecture: Work across hardware and software teams to define sensing requirements. Identity, test, and select sensors such as LiDARs, depth cameras, GPS, IMUs, ToF, and other devices.
- Systems Integration: Integrate sensors with electrical (USB, Ethernet, I2C, CAN, GMSL), mechanical (mounts, jigs, isolation), and software (configurations, drivers, ROS nodes) systems. Ensuring power, thermal, and protocol compatibility.
- Spatial Performance: Architect system to meet spatial sampling performance requirements including spatial coverage, range, resolution, and transform accuracy.
- Temporal Performance: Implement and validate synchronization strategies, triggering schemes, timestamp encoding, and end-to-end latency minimization.
- Performance Characterization: Evaluate sensor performance (spatial resolution, temporal drift, EMI noise, sync errors etc.). Test under real-world environmental conditions (vibration, lighting, moisture, temperature).
- Calibration: Design and execute both intrinsic and extrinsic calibrations. Build alignment rigs and calibration boards as needed.
- Optimization: Tune sensor configurations (exposure, gain, filtering, frame rate, etc.) and processing pipeline (filtering etc.) for optimal performance
- Documentation: Create timing diagrams, sensor maps, coordinate transforms, and maintain all configuration files, launch scripts, driver references, and firmware states.
- Build: Work with vendors to procure sensors. Develop QA checks for incoming units. Support payload integration and manufacturing at scale.
- Debug: Conduct root cause analysis of sensor systems including issues across hardware and software boundaries.
- Monitor: Develop protocols for monitoring the sensing system health, data quality, and calibration status during field deployments.
- Education: B.S., M.S. or Ph.D. in Robotics, Electrical Engineering, Engineering Physics, Physics, or a related field.
- Experience Level: We are recruiting across a wide range of experience levels from entry level engineers to senior and staff engineers.
- Hands-On Sensors Experience: Hands-on work with perception sensors such as LiDAR, depth cameras, IMUs, GPS.
- Systems Thinking: Cross-functional collaboration experience across electrical, mechanical, and software teams.
- Sensor Physics: Strong foundation in optics, signal processing, and electromagnetic wave propagation.
- Lab Skills: Hands-on testing, calibration, and debugging skills (oscilloscopes, logs, vibration/thermal setups)
- Communication Protocols: Experience with protocols such as USB, Ethernet, GMSL, CAN, I2C, and CSI.
- Computer & Software: Experience working with ROS/ROS2, sensor drivers, coordinate transforms (TF), and timing protocols (PTP, NTP, etc.).
- Timing & Triggers: Experience with timestamping, synchronization, triggering, and latency constraints.
- Calibration & Characterization: Experience designing and executing intrinsic, extrinsic, and temporal calibrations, along with sensor characterization under real-world environmental conditions.
- Simulation: Experience high-fidelity simulation environments (Gazebo, Isaac Sim, RViz) for sensor modeling.
- Scaling: Experience taking systems from prototype to large scale production.
- Field Environments: Experience developing systems for harsh field environments.
- Deployed Robotics: Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots.
- Systems Level Robotics: Fluency across software, electrical, and mechanical systems.
- Autonomy Software: Knowledge of autonomy stacks used in robotics. As well as how sensor performance impacts autonomy algorithms.
Frequently asked questions
Is the Sensor & Perception Engineer, Robotics Hardware position at Field AI remote?
The Sensor & Perception Engineer, Robotics Hardware role at Field AI does not have a confirmed remote arrangement in our data. Check the employer description for its work location.
What type of employment is the Sensor & Perception Engineer, Robotics Hardware role?
Field AI is hiring for a full-time Sensor & Perception Engineer, Robotics Hardware position.
How do I apply for the Sensor & Perception Engineer, Robotics Hardware position at Field AI?
You can apply for the Sensor & Perception Engineer, Robotics Hardware role directly through Field AI's official application link provided on this page.