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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - Simulation Orchestration - **Company:** Applied Intuition - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $153,000.0 - $220,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Amazon Web Services, Computing Platforms, Microsoft Azure, C++ (Programming Language), Distributed Systems, Python (Programming Language), Node.Js, Google Cloud, Autoscaling, Multi-Cloud, Backend, Kubernetes, Cloud Optimization, Oracle Cloud Infrastructure, Golang - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/senior-software-engineer-simulation-orchestration-appliedintuition-com-8631931 ## About the Role * 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. ## Description 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. ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Stop using Node.js like in 2020! 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