Aeva

4D LiDAR sensors with velocity detection

Lidar Verification and Validation Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours

Full-timeMountain View, CA, USA

About the Job

Requirements

A Bachelor of Science degree in Computer Science, Electrical Engineering, or a related technical field.
At least 3 years of hands-on experience in Verification and Validation, Test Engineering, or Quality Assurance for complex hardware/software systems.
Experience working with electromechanical or optical systems.
Strong proficiency in Python for test scripting, automation, and data analysis.
Experience contributing to or implementing test software architecture and frameworks.
Experience with data-analysis techniques and tools for large datasets, such as Pandas, NumPy, or MATLAB.
Familiarity with version control systems such as Git.
Knowledge of measurement instruments and data-acquisition hardware.
Strong written and verbal communication skills and demonstrated report-generation ability.
A highly analytical, methodical approach to problem-solving and meticulous attention to detail.

Responsibilities

Design, develop, and deploy V&V hardware and software test solutions, systems, and automated test fixtures for comprehensive LiDAR sensor characterization and validation.
Contribute to implementing and maintaining test software architecture using industry best practices.
Use Python to develop scripts and programs for test automation, sensor data acquisition, and post-processing results.
Design and develop scenes with objects placed at several range locations to characterize LiDAR systems in a controlled environment.
Execute detailed test plans, protocols, and test cases covering functional, performance, reliability, and environmental testing on LiDAR systems.
Manage, process, and analyze large datasets from testing to identify performance trends, system anomalies, and failure root causes.
Generate accurate and timely V&V reports, including detailed test results, summaries, and documentation for compliance and internal review.
Collaborate with R&D, hardware, and software teams to review requirements, ensure testability, and drive timely issue resolution.
Participate in defining and refining the overall V&V strategy and best practices under the guidance of the V&V Manager.

Desired Qualifications

Experience with LiDAR or similar sensor technology.
System-level understanding of LiDAR systems, including optics, mechanics, signal processing, and embedded software.
Experience with LiDAR perception concepts such as point-cloud processing and object detection, or other automotive sensor modalities such as camera or radar.
Familiarity with safety-critical industry standards, such as automotive safety standard ISO 26262.

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 skilled and motivated Verification and Validation (V&V) Engineer to join our team, focusing on the rigorous testing and quality assurance of our cutting-edge LiDAR products. This role is ideal for a hands-on engineer with strong programming skills, a passion for data analysis, and experience in building robust test solutions for complex systems.

What you'll be doing:

Design, develop, and deploy V&V hardware and software test solutions, systems, and automated test fixtures necessary for comprehensive Lidar sensor characterisation and validation.
Contribute significantly to the implementation and maintenance of the test software architecture using industry best practices.
Utilize strong Python skills to develop scripts and programs for test automation, data acquisition from sensors, and post-processing of results.
Design and develop scenes containing objects placed at several range locations to characterize Lidar systems is a controlled environment.
Execute detailed test plans, protocols, and test cases (functional, performance, reliability, environmental, etc.) on Lidar systems.
Manage, process, and analyze large datasets generated from testing activities to identify performance trends, system anomalies, and root causes of failures.
Generate accurate and timely V&V reports, including detailed test results, summaries, and documentation required for compliance and internal review.
Collaborate closely with cross-functional teams (R&D, Hardware, Software) to review requirements, ensure testability, and drive timely issue resolution.
Participate in defining and refining the overall V&V strategy and best practices under the guidance of the V&V Manager.

What you'll have:

BS in Computer Science, Electrical Engineering, or a related technical field.
Minimum of 3+ years of hands-on experience in Verification and Validation, Test Engineering, or Quality Assurance for complex hardware/software systems.
Experience working with electromechanical or optical systems (experience with Lidar or similar sensor technology is a strong plus).
Strong proficiency in Python for test scripting, automation, and data analysis.
Proven experience contributing to or implementing test software architecture and frameworks.
Experience with data analysis techniques and tools for handling large datasets (e.g., Pandas, NumPy, MATLAB).
Familiarity with version control systems (e.g., Git).
Knowledge of measurement instruments and data acquisition hardware.
Excellent written and verbal communication skills with demonstrated ability in report generation.
Highly analytical, methodical approach to problem-solving, and meticulous attention to detail.

Nice to Have

System-level understanding of Lidar systems, including optics, mechanics, signal processing, and embedded software.
Experience with Lidar perception concepts (e.g., point cloud processing, object detection) or other automotive sensor modalities (camera, radar).
Familiarity with industry standards for safety-critical systems, such as automotive safety (e.g., ISO 26262).

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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