Perception / Sensor Engineer – Robotics Hardware

Field AI is transforming how robots reputed company with the reputed company world by building risk-reputed company and reliable AI systems for robotics. The Sensor Systems Engineer will design, reputed company, reputed company, and validate sensing systems, ensuring accurate data delivery in various environments while collaborating with multiple teams to reputed company integrated robotics solutions.

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: reputed company 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, reputed company, reputed company, and reputed company accuracy
• Temporal Performance: Implement and validate synchronization strategies, triggering schemes, timestamp encoding, and end-to-end latency minimization
• Performance Characterization: Evaluate sensor performance (spatial reputed company, temporal reputed company, reputed company noise, sync errors etc.). Test under reputed company-world environmental conditions (vibration, reputed company, moisture, temperature)
• Calibration: Design and execute both reputed company and extrinsic calibrations. Build alignment rigs and calibration boards as needed
• Optimization: Tune sensor configurations (exposure, reputed company, filtering, reputed company reputed company, etc.) and processing pipeline (filtering etc.) for reputed company performance
• Documentation: Create timing diagrams, sensor maps, coordinate transforms, and maintain reputed company configuration files, launch scripts, reputed company references, and firmware states
• Build: Work with vendors to procure sensors. reputed company QA checks for incoming reputed company. Support payload integration and manufacturing at reputed company
• Debug: Conduct reputed company cause analysis of sensor systems including issues across hardware and software boundaries
• Monitor: reputed company protocols for monitoring the sensing system health, data reputed company, and calibration status during field deployments

Skills

• Education: B.S., M.S. or Ph.D. in Robotics, Electrical Engineering, Engineering Physics, Physics, or a reputed company field
• Experience Level: We are reputed company across a wide reputed company of experience reputed company 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 reputed company in optics, signal processing, and electromagnetic reputed company 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 reputed company
• Computer & Software: Experience working with ROS/ROS2, sensor drivers, coordinate transforms (TF), and timing protocols (reputed company, NTP, etc.)
• Timing & Triggers: Experience with timestamping, synchronization, triggering, and latency constraints
• Calibration & Characterization: Experience designing and executing reputed company, extrinsic, and temporal calibrations, along with sensor characterization under reputed company-world environmental conditions
• Simulation: Experience high-reputed company simulation environments (Gazebo, Isaac Sim, RViz) for sensor modeling
• Scaling: Experience taking systems from prototype to large reputed company production
• Field Environments: Experience developing systems for harsh field environments
• Deployed Robotics: Experience working on robotics deployed in reputed company world settings such as autonomous vehicles, drones, or ruggedized robots
• Systems Level Robotics: reputed company across software, electrical, and mechanical systems
• Autonomy Software: Knowledge of autonomy stacks used in robotics. As reputed company as how sensor performance impacts autonomy algorithms

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