Senior Sensor Systems Engineer - Robotics Hardware (Remote)

Field AI; Irvine (CA); On-site; Full time

Job description

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.

Hardware Team

The Hardware Team at Field AI develops perception and compute payloads that power autonomous robotics systems in complex real‑world environments. Our work spans the full hardware stack designing and integrating sensing systems (LiDAR, camera, TOF, IMU, GPS), embedded compute (CPUs, GPUs, microcontrollers, ROS, sensor drivers), electrical systems (power distribution, communication), and mechanical components (structures, thermal regulation, ingress protection). The team focuses on both development (research, design, prototyping, testing) and operations (production, testing, QA, debugging). We’re a small, fast‑moving team, and we care deeply about improving: core capabilities, system reliability, and system scalability. As a growing team we are also building operational systems and procedures from the ground up.

Sensor Systems Role

As a Sensor Systems Engineer on the Hardware Team, you will contribute to the design, integration, calibration, and validation of the sensing systems that underpin our autonomy stack. You will work with a diverse array of sensors—LiDARs, depth cameras, IMUs, GPS, and more—ensuring each one delivers accurate, time‑synchronised, and spatially consistent data in a range of environments and operating conditions. You will collaborate closely with the autonomy, compute, electrical, and mechanical teams to build tightly integrated solutions ready for deployment in challenging field environments. Additionally, while your focus will be on sensors you will likely contribute across all hardware domains.

What You Will Get To Do

1. Sensor System Design

• Sensor Architecture: Work across hardware and software teams to define sensing requirements. Identify, 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 minimisation.

2. Sensor System Implementation

• Performance Characterisation: 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 for optimal performance.
• Documentation: Create timing diagrams, sensor maps, coordinate transforms, and maintain all configuration files, launch scripts, driver references and firmware states.

3. Sensor System Production & Servicing

• 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.

What You Have

• 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 & Characterisation: Experience designing and executing intrinsic, extrinsic and temporal calibrations, along with sensor characterisation under real‑world environmental conditions.
• Simulation: Experience with high‑fidelity simulation environments (Gazebo, Isaac Sim, RViz) for sensor modelling.

What Will Set You Apart

• 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 ruggedised 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.

Compensation and Benefits

Our salary range is between $70,000 and $300,000 annually, 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, localisation 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 organisations such as 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. 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, colour, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status or mental or physical disability or any other legally protected status.