Hardware Qualification System Engineer

Description:

Innoviz Technologies is driving the future of autonomous vehicles with its state-of-the-art LiDAR technology. Our innovative systems, trusted by automotive giants such as BMW and Volkswagen, are revolutionizing the industry and setting new standards in automotive technology.

The Hardware Qualification team, as a part of the HW team (R&D Branch), is leading the Qualification process at Innoviz, working together with all major car OEM’s and other customers. The Qualification process also includes interactions with all major teams at Innoviz.

We are looking for a talented and driven system engineer capable of understanding complex systems to contribute to the qualification efforts for Innoviz’s cutting-edge products.

Responsibilities:

• Coordinate and conduct hands-on functional and reliability testing of complete systems and individual components.
• Collect, analyze, and interpret test data using data acquisition systems and software tools
• Based on collected data and information, determine if specifications, regulations, customers’ expectations, and acceptance criteria are satisfied – According to automotive standards.
• Work closely with all R&D and Engineering groups on failure analysis cycle: investigation of root cause, finding the optimized corrective action and validating the fix.
• Prepare and deliver detailed technical reports, presenting test results and conclusions to internal and external stakeholders.
• Improve existing testing and analysis tools and scripts to automate the work.
• Review and analyze the product's compatibility with new customer or design relevant requirements.

• Bachelor's degree (B.Sc.) in Mechanical Engineering or a related field / equivalent experience as Practical engineer.
• At least 2 years of experience in product validation or similar.
• Proven experience working in a matrix organization
• Failure Analysis experience – Highly Preferred
• Experience with analyzing collected data using Python scripts / Matlab or AI tools.
• Experience in operating lab equipment - Advantage
• Proven Experience in writing Python scripts (also by using AI tools) for automated tools– Advantage
• Great team player, demonstrating good interpersonal skills.
• High level in English

* This role is employed through a third-party provider.