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2.14 Robotics Hardware Engineer – Sensor Systems
Field-ai
Irvine, USA
Full-time
Entry
Onsite
USD 70000-200000 yearly / year
Discovered 1 weeks ago
ROSROS2sensor driverscoordinate transforms (TF)timing protocols (PTPUSB
Free
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ROSROS2sensor drivers
Key Skills for This Role
ROSROS2sensor driverscoordinate transforms (TF)timing protocols (PTPUSB
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• 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, 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.
• 2. Sensor System Implementation
- 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.
• 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.
- 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.
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