Description
Lidar Verification and Validation Engineer
Team: Testing
Location: Mountain View, CA
Commitment: Full-Time
Workplace Type: onsite
Salary:
Salary pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, certifications, qualifications, relevant education or training, and market conditions. These ranges are subject to change in the future.
Depending on the position offered, equity, bonus, and other forms of compensation may be provided as part of a total compensation package, in addition to comprehensive medical, dental, and vision coverage, pre-tax commuter and health care/dependent care accounts, 401k plan, life and disability benefits, flexible time off, paid parental leave, and 11 paid holidays annually.
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!
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