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Stephen Day is an accomplished entrepreneur and engineer, widely recognized as a co-founder of Embark Trucks. Embark was a pioneering company in the autonomous trucking industry, focused on developing self-driving technology for long-haul freight transportation. With a background that often intersects engineering, robotics, and business strategy, Stephen played a crucial role in Embark's journey from a startup to a publicly-traded company. His work involved leading teams in the development of complex autonomous systems, navigating the regulatory landscape, and forging strategic partnerships to advance the adoption of self-driving trucks. He is known for his vision in tackling the challenges of logistics and transportation through cutting-edge technology, aiming to improve safety, efficiency, and sustainability in the freight sector.
Stephen Day's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Co-founded Embark Trucks in 2016, which became one of the leading developers of autonomous vehicle software for the trucking industry, focusing on Level 4 self-driving technology.
Successfully guided Embark Trucks through a SPAC merger to become a publicly traded company on the Nasdaq (formerly $EMBK), a significant milestone for the autonomous vehicle startup.
Instrumental in establishing and testing some of the first commercial autonomous freight corridors in the United States, demonstrating the viability of self-driving trucks for long-haul routes.
Contributed significantly to research, development, and real-world testing aimed at making autonomous trucking a commercially viable and scalable solution for the logistics industry.
San Francisco State University
San Francisco State University
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Null is an innovative technology company focused on developing cutting-edge solutions for data integrity, privacy, and AI safety. We provide tools and platforms that help businesses manage and secure their data by addressing null values, ensuring robust data anonymization, and developing frameworks for responsible AI, ultimately empowering data-driven decisions with confidence and ethical considerations.
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