Systems Engineer, LiDAR Characterization

Roboticsconnected; Mountain View (WY); On-site; USD 100,000 - 145,000; Full time

Job summary

Roboticsconnected is seeking a Systems Engineer, LiDAR Characterization, to work hands-on with our 4D LiDAR sensors. You will run tests in the lab and in the field, characterizing performance across scenarios and debugging system-level issues.

You will collaborate with optics, firmware, hardware, and algorithms teams to build a full understanding of the sensor from photonics to point cloud, and contribute to calibration and data analysis using Python or MATLAB.

Qualifications

• MS in Electrical Engineering, Physics, Optics/Photonics or related field.
• Hands-on lab experience with sensors, optical systems or electronic test equipment.
• Proficiency in Python or MATLAB for data analysis; foundation in signal processing or optics.

Responsibilities

• Set up and run tests on LiDAR sensors in lab and on vehicles for comprehensive characterization.
• Develop automation software to accelerate lab testing and data collection.
• Support field data collection across real-world scenarios; prepare sensors and test setups and log conditions.
• Investigate system-level issues: reproduce problem, collect diagnostic data, work with engineering teams to identify root cause.
• Help develop, run, and verify sensor calibration procedures.
• Analyze sensor data with Python or MATLAB and document results for the Systems team.

Skills

Python

MATLAB

Sensor lab testing

Hardware debugging

Education

MS in Electrical Engineering

Physics or Optics/Photonics

Tools

Oscilloscope

LabVIEW

Job description

Systems Engineer, LiDAR Characterization

Role Overview

We are looking for a Systems Engineer, LiDAR Characterization, to join the Systems team and work hands-on with our next-generation 4D LiDAR sensors. This role is for someone who wants to spend most of their time on the sensor itself: running it in the lab and in the field, measuring how it performs, and working out why it behaves the way it does.

You will characterize sensor performance across a wide range of scenarios, debug system-level issues, and support sensor calibration. You will work closely with senior systems engineers and with the algorithms, firmware, hardware, and optics teams, and you will build a working understanding of the full sensor, from the photonics and electronics through signal processing to the point cloud.

What you'll do

• Set up and run tests on LiDAR sensors in the lab and on vehicles for comprehensive characterization
• Develop automation software to accelerate lab testing and data collection
• Support field data collection across real-world scenarios, including preparing sensors and test setups and logging test conditions.
• Investigate system-level issues: reproduce the problem, collect diagnostic data, and work with the relevant engineering teams to find the root cause.
• Help develop, run, and verify sensor calibration procedures.
• Analyze sensor data with Python or MATLAB, and document and present results to the Systems team and cross-functional partners.

What you'll have

• An MS in Electrical Engineering, Physics, Optics/Photonics, Mechanical Engineering, or a related field, with 0-2 years of industry experience.
• Hands-on lab experience with sensors, optical systems, or electronic test equipment from research, internships, or industry.
• Proficiency in Python or MATLAB for data analysis, and a foundation in signal processing, optics, or measurement statistics.
• A methodical approach to debugging problems that span hardware, firmware, and software, and clear written and verbal communication.
• Experience with LiDAR, radar, or other perception sensors, FMCW or coherent detection, or sensor calibration is a plus.

What's in it for you

• Spend most of your time hands-on with a cutting-edge 4D LiDAR sensor and learn the full system end to end.
• Work alongside and be mentored by experienced systems, optics, and signal processing engineers.
• Be part of a fast-paced and dynamic team.

Salary Range

Salary pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, certifications, qualifications, relevant education or training, and market conditions. These ranges are subject to change in the future. Depending on the position offered, equity, bonus, and other forms of compensation may be provided as part of a total compensation package, in addition to comprehensive medical, dental, and vision coverage, pre-tax commuter and health care/dependent care accounts, 401k plan, life and disability benefits, flexible time off, paid parental leave, and 11 paid holidays annually.