Aeva

4D LiDAR sensors with velocity detection

LiDAR Test & Calibration Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours

Full-timeMountain View, CA, USA

About the Job

Requirements

At least 1–3 years of experience, or equivalent academic project experience, developing test processes and infrastructure for optoelectronic products such as LiDAR, laser-based sensors, optical systems, cameras, or imaging systems.
Strong programming abilities in Python.
Computer operating system and networking skills, including command-line tools and LAN troubleshooting.
A strong foundation in physics and signal processing fundamentals to understand 4D LiDAR and how manufacturing variability impacts performance.
Familiarity with statistical analysis and Statistical Process Control techniques.
Ability to travel internationally up to 25% of the time.

Responsibilities

Develop, validate, and maintain manufacturing test and calibration processes for LiDAR sensors.
Work with suppliers to design and optimize automated production test stations, fixtures, and calibration equipment.
Define production test sequences, acceptance criteria, and calibration algorithms.
Analyze LiDAR performance metrics, including range accuracy and precision, signal-to-noise ratio, signal intensity, point cloud quality, and receiver sensitivity.
Perform root cause analysis of manufacturing failures and implement corrective actions.
Improve first-pass yield, throughput, and overall equipment effectiveness.
Develop Statistical Process Control methods to monitor manufacturing quality.
Create and maintain calibration procedures, work instructions, and manufacturing documentation.
Support Engineering Validation Test, Design Validation Test, Production Validation Test, and mass production builds.
Work closely with automation engineers to integrate test equipment with Manufacturing Execution Systems.
Analyze production data using Python, SQL, JMP, or similar tools to identify trends and improve process capability.
Troubleshoot optical, electrical, and mechanical issues affecting production yield.
Support new product introduction by transferring test and calibration processes from development to manufacturing.
Provide on-site support at contract manufacturers as needed to bring up and qualify the LiDAR test and calibration line, troubleshoot issues, and conduct failure triage and root cause analysis.
Assist product engineers and business development teams with returned-unit investigations for return merchandise authorization support.

Desired Qualifications

Hands-on experience with electro-optical sensor systems.
Knowledge of photonics, optics, and laser systems.
Experience with robotic automation and industrial manufacturing equipment.
Exposure to production testing environments for electro-optical sensor systems.
Knowledge of software engineering processes, including version control, release engineering, test-driven development, and Agile methodologies.
Familiarity with automotive LiDAR performance requirements.
Bilingual fluency in Spanish or Korean.

Salary Range: 103900 to 140600 (Currency: USD) (Pay period: per-year-salary)

About us:

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 seeking a highly motivated LiDAR Test & Calibration Engineer to develop, optimize, and support manufacturing test and calibration processes for LiDAR sensors in a high-volume production environment. The ideal candidate will be responsible for ensuring that every LiDAR unit meets performance, quality, and reliability specifications through automated testing, calibration, data analysis, and continuous process improvement.

This role requires close collaboration with Manufacturing, Product engineering, Lidar Algorithms and Quality teams to achieve production yield, throughput, and quality goals.

What you'll be doing:

Develop, validate, and maintain manufacturing test and calibration processes for LiDAR sensors.

Work with suppliers to design and optimize automated production test stations, fixtures, and calibration equipment.

Define production test sequences, acceptance criteria, and calibration algorithms.

Analyze LiDAR performance metrics such as Range accuracy & precision, SNR, Signal intensity, Point cloud quality, Receiver sensitivity, etc.

Perform root cause analysis of manufacturing failures and implement corrective actions.

Improve first-pass yield (FPY), throughput, and overall equipment effectiveness (OEE).

Develop Statistical Process Control (SPC) methods to monitor manufacturing quality.

Create and maintain calibration procedures, work instructions, and manufacturing documentation.

Support Engineering Validation Test (EVT), Design Validation Test (DVT), Production Validation Test (PVT), and Mass Production (MP) builds.

Work closely with automation engineers to integrate test equipment with Manufacturing Execution Systems (MES).

Analyze production data using Python, SQL, JMP or similar tools to identify trends and improve process capability.

Troubleshoot optical, electrical, and mechanical issues affecting production yield.

Support new product introduction (NPI) by transferring test and calibration processes from development to manufacturing.

Provide on-site support when needed at contract manufacturer (CM), to bring and qualify the LiDAR test and calibration line, troubleshoot issues including conducting failure triage and root cause analysis.

Assist product engineers and business development teams with RMA support by investigating returned units.

What you'll have:

1–3 years of experience (or equivalent academic project experience) developing test processes and infrastructure for optoelectronic products such as LiDAR, laser-based sensors, optical systems, cameras, or imaging systems.

Strong programming abilities in Python

Computer operating system and networking skills, including command-line tools and LAN troubleshooting.

A strong foundation in physics and signal processing fundamentals to understand 4D LiDAR and how manufacturing variability impacts performance.

Familiarity with statistical analysis and SPC techniques.

Ability to travel internationally, up to 25% of the time

Nice-to-haves:

Hands-on experience with electro-optical sensor systems.

Knowledge of photonics, optics, and laser systems.

Experience with robotic automation and industrial manufacturing equipment.

Exposure to production testing environments for electro-optical sensor systems.

Knowledge of software engineering processes, including version control, release engineering, test-driven development, and Agile methodologies.

Familiarity with automotive LiDAR performance requirements.

Bilingual with fluency in Spanish or Korean

What's in it for you:

Be part of an early start-up that's backed by industry-leading venture capitalists

Very competitive compensation and meaningful equity!

Exceptional benefits: Medical, Dental, Vision, and more!

401k matching

Unlimited PTO: We care about results, not punching timecards

Paid lunches, ping pong tournaments, and fun team off-sites!

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

About the Company

Aeva

4D LiDAR sensors with velocity detection

Aeva designs and sells perception sensors, focusing on 4D LiDAR that measures both the velocity and 3D position of objects. The sensors are built by integrating all core LiDAR components onto a silicon photonics chip, creating a compact, efficient module. This technology is applied across automated driving, industrial robotics, consumer electronics, consumer health, and security to improve safety, efficiency, and functionality of autonomous systems. Unlike many competitors that offer traditional 3D sensing, Aeva’s 4D capability provides richer environmental data that helps autonomous systems detect motion and position at once. The company’s business model centers on developing, producing, and selling these sensors to businesses, potentially partnering with other firms to integrate the tech into a wider range of products. Aeva’s goal is to advance autonomous capabilities by delivering practical, scalable sensing solutions that enhance perception and safety across multiple industries.

Company size: 201-500
Company stage: IPO
Headquarters: Mountain View, CA
Founded: 2017

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