Perception / Sensor Engineer – Robotics Hardware
$70k/y-$300k/y
Field AIa day ago
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HybridFull-time
Summary
FieldAI is seeking a Perception / Sensor Engineer – Robotics Hardware to join their team in Irvine, CA. The role involves designing, integrating, calibrating, and validating sensing systems for autonomous robotics.
About the Role
As a Sensor Systems Engineer on the Hardware Team, you will work with various sensors such as LiDARs, depth cameras, IMUs, and GPS to ensure accurate and reliable data collection in diverse environments. Your responsibilities will include sensor system design, implementation, and production servicing, collaborating closely with cross-functional teams to deliver integrated solutions for challenging field conditions.
About You
Required:
- B.S., M.S. or Ph.D. in Robotics, Electrical Engineering, Engineering Physics, Physics, or a related field.
- Hands-on experience with perception sensors such as LiDAR, depth cameras, IMUs, and GPS.
- Strong foundation in optics, signal processing, and electromagnetic wave propagation.
- Experience with communication protocols such as USB, Ethernet, GMSL, CAN, I2C, and CSI.
- Experience working with ROS/ROS2, sensor drivers, and timing protocols.
Preferred:
- 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 or drones.
- Knowledge of autonomy stacks used in robotics and how sensor performance impacts autonomy algorithms.
Benefits
- Competitive salary range between $70k–$300k based on experience and location.
- Flexible work options including hybrid or remote opportunities.
- Opportunity to work with a world-class team on innovative robotics solutions.
Field AI
Field AI 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.
Irvine, CA