FieldAI · 2 weeks ago
Perception / Sensor Engineer – Robotics Hardware
Irvine, CA
Full-time
Onsite
Entry, Mid, Senior Level, Lead/Staff
$70K/yr - $300K/yrField AI is transforming how robots interact with the real world by building risk-aware and reliable AI systems for robotics. The Sensor Systems Engineer will design, integrate, calibrate, and validate sensing systems, ensuring accurate data delivery in various environments while collaborating with multiple teams to develop integrated robotics solutions.
Enterprise SoftwareRobotic Process Automation (RPA)Robotics
Responsibilities
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, 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
Qualification
Required
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
Preferred
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
Company
FieldAI
FieldAI is pioneering the development of a field-proven, hardware agnostic brain technology that enables many different types of robots to operate autonomously in hazardous, offroad, and potentially harsh industrial settings – all without GPS, maps, or any pre-programmed routes.
Founded in 2023
11-50 employees
H1B Sponsorship
FieldAI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9)
Funding
Current Stage
Early StageTotal Funding
$405M2025-08-20Series Unknown· $91M
2025-08-20Series A· $314M
Leadership Team
Ali Agha
Founder and CEO
Recent News
Crunchbase News
2025-12-19
2025-10-16
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