Field AI
Tech / AI / Software
SensorSystemsEngineer-Federal
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Sensor Systems Engineer-Federal at Field AI. Skills: Sensor System Design, Sensor System Integration, Sensor System Calibration, Sensor System Validation, Perception Systems. Support system and component level design, integration, and validation for sensing systems on wheeled robotic platforms.. Contribute to the design, integration, calibration, and validation of the sensing and compute systems that underpin our autonomy stack.”
Industry & Context.
Address the most complex challenges in robotics; Risk-aware, reliable, and field-ready AI systems; Root cause analysis of sensor systems
U.S. government projects require U.S. Person eligibility., 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.
What They're Looking For.
Must Have
B.S., M.S. or Ph.D. in Robotics, Electrical Engineering, Engineering Physics, Physics, or a related field., Hands-on work with perception sensors such as LiDAR, depth cameras, IMUs, GPS., Cross-functional collaboration experience across electrical, mechanical, and software teams., Foundation in optics, signal processing, and electromagnetic wave propagation., Hands-on testing, calibration, and debugging skills (oscilloscopes, logs, vibration/thermal setups)., Experience with protocols such as USB, Ethernet, GMSL, CAN, I2C, and CSI., Experience working with ROS/ROS2, sensor drivers, coordinate transforms (TF), and timing protocols (PTP, NTP, etc.)., Experience with timestamping, synchronization, triggering, and latency constraints., Experience designing and executing intrinsic, extrinsic, and temporal calibrations, along with sensor characterization under real-world environmental conditions., Experience high-fidelity simulation environments (Gazebo, Isaac Sim, RViz) for sensor modeling., U.S. Person eligibility required.
Nice to Have
Experience taking systems from prototype to large scale production., Experience developing systems for harsh field environments., Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots., Fluency across software, electrical, and mechanical systems., Knowledge of autonomy stacks used in robotics., Understanding of how sensor performance impacts autonomy algorithms.
What You'll Do.
Support system and component level design
and validation for sensing systems on wheeled robotic platforms.
Contribute to the design
and validation of the sensing and compute systems that underpin our autonomy stack.
Ensure sensors deliver accurate
and spatially consistent data.
Define sensing requirements.
Integrate sensors with electrical
and software systems.
and protocol compatibility.
Architect system to meet spatial sampling performance requirements.
Implement and validate synchronization strategies
and end-to-end latency minimization.
Evaluate sensor performance.
Test under real-world environmental conditions.
Design and execute calibrations.
Build alignment rigs and calibration boards.
Tune sensor configurations and processing pipelines.
Create timing diagrams
coordinate transforms.
Maintain configuration files
Work with vendors to procure sensors.
Develop QA checks for incoming units.
Support payload integration and manufacturing at scale.
Conduct root cause analysis of sensor systems.
Develop protocols for monitoring the sensing system health
and calibration status.
How You'll Work.
Team & Collaboration
Work across hardware and software teams to define sensing requirements.; Collaborate closely with the autonomy, compute, electrical, and mechanical teams to build tightly integrated solutions.; Cross-functional collaboration experience across electrical, mechanical, and software teams.
Communication Scope
Communication
Full Job Description
## Description Who are We? Field AIis 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 Sensor Systems Engineer to support system and component level design, integration, and validation for sensing systems on wheeled robotic platforms across both federal and commercial programs. Sensor Systems Role: As a Perception Systems Engineer on the Federal Team, you will contribute to the design, integration, calibration, and validation of the sensing and compute 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-synchronized, 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. 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,
Applying for this Sensor Systems Engineer-Federal role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Lever
- Lever uses a streamlined one-page form — apply in under 5 minutes.
- LinkedIn import works well; review parsed data before submitting.
- The cover letter field is optional but visible to reviewers — use it to differentiate.
- Referral codes from employees can significantly boost visibility of your application.
ANONYMOUS · UNFILTERED
What do employees actually say about Field AI?
Real rants from real employees. Read before you apply.