Senior Software Engineer - Simulation Orchestration

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

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.

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:

• 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).
• Self-starter with experience driving production system development from 0 to 1.

Nice to have:

• Experience scheduling GPU workloads or managing GPU capacity at scale.
• Multi-cloud (AWS, OCI, GCP, Azure) or on-prem Kubernetes deployments.
• Experience managing multi-cluster environments using Infrastructure as Code.
• Experience building custom Kubernetes controllers or operators.
• Experience with cloud cost optimization strategies for high-scale compute workloads.

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off.

Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

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