Sam Salontay

Sam Salontay

Validation Engineer, Sil @ Motional

About Sam Salontay

Sam Salontay is a Validation Engineer specializing in Software-in-the-Loop (SIL) testing at Motional, where he has worked since 2020. He holds a Bachelor's Degree in Physics from Allegheny College and has previous experience in quality assurance at Waymo and Pony.ai.

Work at Motional

Sam Salontay has been employed at Motional since 2020, serving as a Validation Engineer in the Software-in-the-Loop (SIL) division. In this role, he focuses on ensuring the reliability and performance of autonomous vehicle systems through rigorous testing and validation processes. His work contributes to the development of safe and effective self-driving technologies, aligning with Motional's mission to advance autonomous mobility.

Previous Experience in Quality Assurance

Prior to his current position, Sam Salontay worked at Waymo from 2016 to 2018 as a Quality Assurance Engineer, specializing in Scenario Quality. His responsibilities included evaluating and improving the quality of scenarios used in testing autonomous vehicles. Following his tenure at Waymo, he joined Pony.ai in 2018, where he continued to work in QA for 11 months, further enhancing his expertise in quality assurance within the autonomous vehicle sector.

Education and Expertise

Sam Salontay earned a Bachelor’s Degree in Physics from Allegheny College, where he studied from 2011 to 2016. This educational background provided him with a strong foundation in analytical thinking and problem-solving skills, which are essential in his engineering roles. His academic experience complements his professional expertise in validation and quality assurance in the field of autonomous vehicles.

Background

Sam Salontay has a background in engineering and quality assurance, with a focus on the autonomous vehicle industry. He has accumulated significant experience working in various roles that emphasize the importance of quality and reliability in technology. His career trajectory reflects a commitment to advancing the safety and effectiveness of self-driving systems.

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