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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Modeling Systems Project Manager - **Company:** Science Applications International Corporation - **Location:** Princeton, NJ, United States - **Experience:** Expert - **Salary:** $120,001.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Big Data, C++ (Programming Language), Cloud Computing, Continuous Integration, DevOps, Distributed Systems, Fortran (Programming Language), Python (Programming Language), Machine Learning, Package Management Systems, Software Engineering, Software Licensing, Google Cloud, High Performance Computing, Chatbots, GitHub Copilot, Delivery Pipeline, Multi-Cloud, Generative AI, Git, Deployment Automation, Build Tools, Data Management, Machine Learning Operations, Software Version Control, Programming Languages - **Published:** September 17, 2026 - **Apply:** https://www.careerarc.com/job-listing/saic-jobs-modeling-systems-project-manager-53029538 ## About the Role Required Education: * Bachelors and ten (10) years or more of related experience; Masters and eight (8) years or more experience ; PhD or JD and five (5) years or more experience., * Project management experience within scientific software, modeling systems, or high-performance computing (HPC) environments. * Familiarity with Earth system modeling workflows and scientific programming languages, including Python, Fortran, and C/C++. * Knowledge of AI/ML concepts, multi-cloud architectures, and data management in distributed systems. * Expertise in Agile frameworks, DevOps/CI/CD tools, and IT financial management. Clearance: * Must be a U.S. Citizen with the ability to obtain a Public Trust Clearance. ## Description Description SAIC is looking for a specialized Project Manager to lead complex Modeling Systems Division scientific software engineering, infrastructure, and high-performance computing (HPC) projects. This role requires a blend of technical acumen in scientific software ecosystems, modern AI/ML applications, and robust project governance to support cutting-edge Earth system modeling. The Modeling Systems Project Manager coordinates the development, infrastructure, and deployment of complex scientific software across on-premises and cloud high-performance computing (HPC) environments. This role bridges the gap between scientific research and technical execution, managing everything from Earth system model workflows to integrating modern AI/ML technologies. Key Responsibilities: * Scientific Software Engineering: Manage software development life cycles using Agile and hybrid frameworks, with a strong focus on programming languages essential to GFDL modeling, specifically Python, Fortran, and C/C++. * DevOps & Scientific Ecosystems: Oversee automated testing pipelines, version control (Git), and containerization platforms for automated deployments, while managing scientific software ecosystems, build systems (Spack), and library wrapping. * HPC & Cloud Infrastructure: Lead deployments across heterogeneous computing architectures, including GPU-accelerated clusters, on-prem environments, and cloud-native systems (AWS, Google Cloud, Azure). * Data & Workflow Management: Facilitate end-to-end workflows for quasi-operational Earth system model runs and development pipelines, coordinating the movement of large datasets within distributed computing environments and implementing data catalog and object store approaches. * AI/ML Integration: Champion modern AI applications in science, such as Retrieval-Augmented Generation (RAG) for technical support chatbots, AI emulators for seasonal forecasting, and coding assistants like GitHub Copilot and Gemini. * Governance & Business Acumen: Direct core PM domains (scope, scheduling, risk mitigation, resource allocation, quality), manage IT finances (Capex vs. Opex, cloud costs, software licensing), and translate complex technical requirements for executive stakeholders and external contractors. Qualifications Required Education: * Bachelors and ten (10) years or more of related experience; Masters and eight (8) years or more experience ; PhD or JD and five (5) years or more experience. Required Qualifications: * Project management experience within scientific software, modeling systems, or high-performance computing (HPC) environments. * Familiarity with Earth system modeling workflows and scientific programming languages, including Python, Fortran, and C/C++. * Knowledge of AI/ML concepts, multi-cloud architectures, and data management in distributed systems. * Expertise in Agile frameworks, DevOps/CI/CD tools, and IT financial management. Clearance: * Must be a U.S. Citizen with the ability to obtain a Public Trust Clearance. Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Shifting Stress to Progress— Understanding DevOps to do DevOps Better](https://www.wearedevelopers.com/videos/268-shifting-stress-to-progress-understanding-devops-to-do-devops-better) - [Chatbots are going to destroy infrastructures and your cloud bills](https://www.wearedevelopers.com/videos/1130-chatbots-are-going-to-destroy-infrastructures-and-your-cloud-bills) - [Model Based Systems Engineering in an Agile Product Development Process](https://www.wearedevelopers.com/videos/68-model-based-systems-engineering-in-an-agile-product-development-process) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [ I Gave a Video Editor More Autonomy Than a Trading Bot. 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