Senior Software Engineer - Simulation Orchestration

About the role

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 full-time 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. This in-office expectation does not apply to contractor positions

ABOUT THE ROLE

As a senior software engineer on the Simulation Orchestration team, you will own the compute platform that Applied Intuition's autonomy products run on. Our customers, and our own internal self-driving programs, run millions of simulations to validate every change to their self-driving stack — throughput is directly how fast they ship. From that foundation, the team is expanding to own on-demand compute scheduling and capacity management across Applied: one platform, any workload, any environment.

AT APPLIED INTUITION, YOU WILL:

- Develop a multi-environment compute platform for workload scheduling, resource allocation, and node lifecycle.

- Collaborate with customers and internal teams to translate compute needs into platform features.

- Solve distributed systems challenges including GPU scheduling, autoscaling, and resource efficiency.

- Ensure high reliability and scalability for production simulation systems.

- Drive architecture decisions to expand simulation orchestration into a company-wide compute platform.

WE'RE LOOKING FOR SOMEONE WHO HAS:

- A Bachelor's degree in Computer Science, Software Engineering, or equivalent

- 5+ years of backend engineering experience, with a track record of owning production distributed systems

- 4+ years of coding in Golang, Python, Java, or C++

- 4+ years building complex backend systems on major cloud providers

- Deep Kubernetes expertise, including pod scheduling, node lifecycle, and autoscaling under load

- Experience building or operating workload scheduling systems (e.g., dispatch, bin-packing, quota enforcement)