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Experiment Lead



Yehud-Monosson, Israel · Center District, Israel
Posted on Thursday, March 7, 2024

Are you passionate about the future of automotive technology and data-driven solutions? Join us at Vayyar Imaging as an Experiments Manager and embark on an exciting journey in the world of automotive radar technology.

Position Overview:

As Data Collection Project Manager at Vayyar Imaging, you will play a pivotal role in overseeing and enhancing the testing and experimental processes, and data collection for our cutting-edge automotive radar technology. Your responsibilities will include interacting with multidisciplinary R&D teams to understand their testing and data requirements, improving process quality from an operational and technical perspective, managing equipment needs, and ensuring seamless coordination of tests across various projects. Your expertise will be vital in ensuring data quality while aligning it with requirements and needs.

This entry-level position is ideal for recent graduates who are passionate about technology and eager to kick-start their careers in the field of experimental testing/validation/data analysis or project management. While prior work experience is not required, candidates should demonstrate a strong willingness to learn, grow, and contribute to the success of Vayyar Imaging's projects.

Job Description:

    • Supervise and oversee tests and experiments conducted with automotive radars.
    • Create and manage tests and experiment plans.
    • Interact with multidisciplinary R&D teams to thoroughly understand their testing needs and requirements, as well as provide progress status.
    • Strive for continuous improvement in the quality of testing processes from a technical standpoint.
    • Provide technical assistance and support to project teams when needed to optimize testing processes and achieve project goals.
    • Operational efficiency and optimization of managing tests on time.
    • Coordinate testing activities across multiple projects, considering urgency, employee capacity, and available tools.
    • Plan and arrange the experiments with internal and external suppliers.
    • Think out of the box to bring creative solutions to experiments.