Systems Test Engineer

AEyePleasanton, CA
3d

About The Position

The System Test Engineer plays a critical role in validating AEye’s LiDAR systems and ensuring end-to-end functionality across hardware, firmware, and software components. You will design, execute, and automate system-level tests to guarantee performance, reliability, and compliance with requirements. This position requires strong technical skills, attention to detail, and the ability to work in a fast-paced, cross-functional environment.

Requirements

  • Ability to analyze point cloud data with system-level understanding for accelerated troubleshooting.
  • Bachelor’s degree in Computer Science, Electrical Engineering, or related field.
  • Proficiency in Python or strong understanding of general programming concepts.
  • Familiarity with Linux environments, Jira, and version control tools (Bitbucket, GitHub).
  • Strong skills in data collection, analysis, and reporting to multi-functional stakeholders.
  • Ability to collaborate across software, hardware, and firmware disciplines.
  • Ability to lift or carry items up to 50lbs.
  • Valid US Driver’s License

Nice To Haves

  • Previous experience with LiDAR systems.
  • Knowledge of C++.
  • Exposure to optoelectronics and MEMS technologies.
  • Experience working in fast-paced and demanding environments.

Responsibilities

  • System-Level Testing: Develop and execute test plans for integrated LiDAR systems, including hardware, embedded software, point cloud algorithms and end-to-end pipeline. Validate system performance under various environmental and operational conditions.
  • Automation & Tools: Create automated test scripts and frameworks for regression and performance testing. Utilize tools such as Python, C++, and CI/CD pipelines for test automation.
  • Requirements & Traceability: Ensure test coverage aligns with system requirements and architecture. Maintain traceability between requirements, test cases, and results in Jira/Confluence.
  • Data Analysis & Reporting: Analyze large datasets from LiDAR sensors to identify anomalies and performance trends. Provide clear, actionable reports to engineering and program teams.
  • Cross-Functional Collaboration: Work closely with System, Software, Algorithm, and Calibration teams to resolve issues. Support root cause analysis and structured problem-solving for system-level defects.
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