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Systems Engineer, LiDAR Characterization

Aeva

Mountain View, CAJob$110–149K/yrPosted 1w agoStill listed 5 days ago

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At a glance

Compensation
$110–149K/yr
Location
Mountain View, CA
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Master's degree

Job overview

Aeva is seeking a Systems Engineer, LiDAR Characterization, to test and characterize next-generation 4D LiDAR sensors in lab and field settings. The role includes sensor data analysis, system-level debugging, calibration support, and collaboration with systems, algorithms, firmware, hardware, and optics teams. Candidates should have an MS in a related field, hands-on lab experience, and proficiency in Python or MATLAB; experience with perception sensors or calibration is a plus.

Skills & qualifications

RequiredNice to have

Skills

Light Detection and Ranging (LiDAR)Python (Programming Language)MATLABSignal ProcessingOpticsSensor TestingLab TestingTest AutomationData CollectionSystem DebuggingSensor CalibrationData AnalysisMeasurement StatisticsLiDARRadarPerception SensorsFMCWCoherent DetectionWritten CommunicationVerbal Communication

Qualifications

MS in Related FieldHands-on Lab Experience0-2 Years Industry Experience

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Time Off
Parental Leave

Full job description

Aeva’s mission is to bring the next wave of perception to a broad range of applications from automated driving to industrial robotics, consumer electronics, consumer health, security, and beyond. Aeva is transforming autonomy with its groundbreaking sensing and perception technology that integrates all key LiDAR components onto a silicon photonics chip in a compact module. Aeva 4D LiDAR sensors uniquely detect instant velocity in addition to 3D position, allowing autonomous devices like vehicles and robots to make more intelligent and safe decisions. 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.

Aeva is an Equal Opportunity Employer including protected Veterans and individuals with disabilities.

110000 - 149153 USD a year

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.

How this job compares

Set against the 11,502 open Systems Engineer jobs on Olive Jobs, counted November 4, 2026.

Pay
  • This posting$110–149K/yr
  • California median$143–211K/yr1,754 salary ranges
  • US median$116–190K/yr8,484 salary ranges

This range's midpoint, $130K, is 26% below the California median midpoint ($176K) — in the lowest quarter of Systems Engineer salary ranges in California.

Openings
Olive Jobs lists 2,066 open Systems Engineer jobs in California and 11,502 across the US. 5% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for no prior experience — less than three in four Systems Engineer postings that state a minimum ask for (median 5 years, across 9,604 postings).
Education
This posting asks for a master's degree; 246 of the 11,502 open Systems Engineer jobs (2%) ask for a master's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 4, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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