About the role
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.
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
We are looking for a software engineer with a passion for improving developer experience and deployment processes. In this role, you will work across engineering teams to identify key sources of friction, improve workflows, develop new tools, and generally uplevel the velocity and reliability of the entire software, and automotive development and deployment lifecycle.
At Applied Intuition, you will:
Design, build, and improve the tools, libraries, and frameworks for our engineering team
Build and test scalable tools for deploying to various automotive and cloud platforms
Optimize our compile/build times using tools like Bazel, CMake, Docker
Improve software deployment and data collection frameworks
Identify and solve bottlenecks within our software stack
We're looking for someone who has:
2+ years of relevant experience, also open to high-performing new grads with