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Lidar Verification and Validation Manager

Aeva

Mountain View, CA permanent

Posted: December 10, 2025

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Quick Summary

Lidar Verification and Validation Manager is responsible for ensuring the accuracy and reliability of LiDAR data, working closely with cross-functional teams to develop and implement validation protocols, and collaborating with engineering teams to integrate validation into production systems.

Job Description

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 an experienced Lidar Verification and Validation (V&V) Manager to lead the testing and quality assurance efforts for our cutting-edge Lidar sensor products. This role requires a blend of strong technical skills, particularly in Point cloud data analysis, Python programming and test software architecture, coupled with proven management abilities to guide a team in ensuring the reliability, performance, and compliance of our sensors.


What you'll be doing::
• Lead, mentor, and manage a team of V&V engineers in the design and development of complex V&V hardware and software test solutions, systems, and fixtures required for comprehensive Lidar sensor testing.
• Define, develop, and implement the overall Verification and Validation strategy for Lidar sensor hardware and embedded software.
• Design and maintain robust test software architecture and frameworks, ensuring scalability, maintainability, and efficiency.
• Drive the creation, execution, and review of comprehensive test plans, protocols, and test cases (functional, performance, reliability, safety, etc.).
• Leverage strong Python skills for scripting, test automation, data acquisition, and post-processing.
• Lead efforts in handling and analyzing large datasets generated from V&V activities to identify anomalies, characterize sensor performance, and pinpoint root causes of failures.
• Establish and maintain clear metrics for tracking V&V progress and product quality.
• Oversee the accurate and timely report generation of V&V results, including detailed test summaries, failure analysis, and compliance documentation for both internal and external stakeholders


What you'll have::
• BS in Computer Science, Electrical Engineering, or a related technical field.
• Minimum of 5 years of experience in Verification and Validation, Quality Assurance, or a related field.
• Minimum of 2 years of previous management experience leading technical teams.
• Proven experience working with complex electromechanical or optical systems (experience with Lidar or similar sensor technology is a strong plus).
• Strong proficiency in Python for test automation, data analysis, and tool development.
• Demonstrated experience in designing, implementing, and managing robust test software architecture.
• In-depth knowledge of statistical methods for analyzing large datasets and characterizing system performance.
• Familiarity with various data analysis tools (e.g., Pandas, NumPy, MATLAB) and version control systems (e.g., Git).
• Exceptional written and verbal communication skills, including the ability to produce high-quality report generation.
• Strong problem-solving abilities and a methodical approach to failure analysis.
• Excellent organizational and project management skills


Nice to Have:
• Deep system-level understanding of Lidar systems, including optics, mechanics, signal processing, and embedded software.
• Knowledge of Lidar perception algorithms (e.g., object detection, tracking, segmentation) and common performance metrics.
• Experience with perception systems using other sensor modalities such as camera, radar, or ultrasonic sensors.
• Familiarity with industry standards for automotive safety (e.g., ISO 26262) or other safety-critical domains


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!

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