Senior Sensor & Perception Engineer, Robotics Hardware

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.

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.