Applied Sunnyvale Posted 2026-06-03

Software Engineer - Backend

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Job Description

ABOUT APPLIED INTUITION Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co http://applied.co. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. ABOUT THE ROLE As a Backend Software Engineer on the Remote Assistance team, you will be responsible for designing, building, and maintaining the core services and infrastructure that power our remote assistance platform. Your work will involve creating the APIs, data pipelines, and backend systems that handle real-time data streaming, command processing, and communication with both the autonomous vehicles and the human operator workstations. This is a high-impact role where you will be instrumental in making autonomous trucking a reality by ensuring a reliable and scalable backend. AT APPLIED INTUITION, YOU WILL: - Design, develop, and deploy scalable, low-lat