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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.
Job Responsibility:
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
Requirements:
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 we offer:
Very competitive compensation and meaningful equity
Exceptional benefits: Medical, Dental, Vision, and more
401k matching
Unlimited PTO
Paid lunches, ping pong tournaments, and fun team off-sites