Autonomy Software Engineer - Acuity Framework
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
About Applied Intuition
Builds the toolchain, vehicle OS and autonomy stacks that automakers, defense and off-road OEMs use to ship AI-driven vehicles.
Series F
Job description
The full responsibilities and requirements are on the employer’s site.
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Internal deployment & tooling · Evidence for this classification:
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're seeking a Software Engineer to join our Acuity Autonomy Framework team, working on a cutting-edge framework solution that enables collaborative autonomy behaviors in multi-domain environments. In this role, you'll develop core software systems, integrate with domain-specific platforms, and support multidisciplinary engineering efforts across the organization. This is an opportunity to work on foundational software that powers autonomous systems operating in
More from the 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. 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're seeking a Software Engineer to join our Acuity Autonomy Framework team, [... source excerpt omitted ...] ry engineering efforts across the organization. This is an opportunity to work on foundational software that powers autonomous systems operating in complex, real-world scenarios. You'll collaborate with autonomy engineers, domain experts, and product teams to build robust, scalable frameworks that enable collaborative behaviors across air, ground, and maritime domains. At Applied Intuition, you will: Develop Core Framework Software: Design and implement high-performance C++ systems that form the foundation of collaborative autonomy behaviors in multi-domain environments Enable Collaborative Autonomy: Develop software that allows multiple autonomous agents to coordinate and [... source excerpt omitted ...] ty to work effectively in a fast-paced, collaborative environment Strong problem-solving skills and attention to detail Excellent written and verbal communication skills Travel Requirements: Must be willing to travel as projects require, usually for SW/HW integration and/or demonstrations; estimated average travel is 2-5 days every other month (10-20%) Security Requirements: Must be a U.S. Citizen Must hold or be eligible for a U.S. Secret security clearance For more information about U.S. security clearances: click here. Nice to have: Experience with autonomous systems, robotics, or real-time control systems Familiarity with distributed systems and multi-agent coordinatio
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