Modeling Systems Project Manager

Job ID: 2616861

Location: Princeton, NJ, US

Date Posted: 2026-09-16

Category: Program Management

Subcategory: Program Mgmt

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 10% of the time

Minimum Clearance Required: None

Clearance Level Must Be Able to Obtain: Public Trust

Potential for Remote Work: ORA_ON_SITE


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:



Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

SAIC is a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is Redefining Ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects. SAIC's approximately 15,000 employees are driven by integrity and mission focus to serve customers in the U.S. federal government. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $4.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see .