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.
Key Responsibilities
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.
Requirements
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.
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).
Benefits & Perks
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!