
Salary not disclosed · Posted 10h ago
Responsibilities Develop AI-ready deployment technologies that run Simulink simulations as standalone applications and cloud-hosted services. Design and build cloud-native simulation microservices that can be composed, orchestrated, and scaled dynamically. Contribute to platform capabilities that enable agentic workflows, including automation for simulation setup, execution, monitoring, and analysis. Apply AI-assisted development techniques to improve developer productivity, code quality, testing, and system reliability. Improve performance, scalability, and robustness of deployed simulation workloads in both desktop and cloud environments. Collaborate with cross-functional teams across simulation, cloud infrastructure, and developer platforms to deliver end-to-end intelligent deployment solutions. Help shape the future of AI-enhanced simulation deployment, exploring how agents and automation can simplify complex workflows. Minimum Qualifications A bachelor's degree and 6 years of professional work experience (or a master's degree and 3 years of professional work experience, or a PhD degree, or equivalent experience) is required. Additional Qualifications Strong software engineering fundamentals, including system design and debugging. Proficiency in one or more programming languages such as C++, Python, Java, or Go. Experience developing production-quality software in a collaborative, large-codebase environment. Experience building cloud-native systems (Docker, Kubernetes, microservices, REST/gRPC APIs). Familiarity with simulation systems, numerical computing, or model-based design (MATLAB/Simulink experience is a strong plus). Interest or hands-on experience with AI, agentic systems, automation, or developer platforms. Experience with performance optimization, scalable systems, or distributed workloads. Curiosity about how AI can augment software engineering workflows, from development to deployment and operations.
Apply by 28 Sept 2026
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