Modeling Systems Project Manager

Socket.dev; Princeton (NJ); On-site; USD 120,000 - 150,000; Full time

Job summary

SAIC is seeking a specialized Project Manager to lead Modeling Systems Division scientific software engineering, infrastructure, and HPC projects bridging research and execution. This role coordinates development and deployment across on-premises and cloud HPC environments, uniting Earth system modeling with modern AI/ML approaches.

The candidate will manage governance, scope, scheduling, risk, and budgets while translating complex technical requirements for executive stakeholders and external

Qualifications

• PM experience within scientific software, modeling systems, or HPC environments.
• Familiarity with Earth system modeling workflows and Python/Fortran/C/C++.
• Agile frameworks, DevOps/CI/CD tools, and IT financial management knowledge.

Responsibilities

• Scientific Software Engineering: Manage SDLC with Agile and hybrid frameworks.
• DevOps & Scientific Ecosystems: Oversee automated testing pipelines and version control.
• HPC & Cloud Infrastructure: Lead deployments across GPU clusters and cloud.
• Data & Workflow Management: Facilitate end-to-end workflows and data movement in distributed environments.
• AI/ML Integration: Champion AI applications like RAG for technical support and AI emulators.
• Governance & Business Acumen: Direct PM domains and IT finances.

Job 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.

SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives. We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.