Modeling Systems Project Manager

Princeton, NJ, US • Posted 6 hours ago • Updated 6 hours ago
Full Time
On-site
USD $120,001.00 - 160,000.00 per year
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Job Details

Skills

  • Program Management
  • Project Governance
  • Bridging
  • Scientific Research
  • Software Engineering
  • Software Development
  • Automated Testing
  • Version Control
  • Git
  • IaaS
  • GPU
  • Amazon Web Services
  • Google Cloud Platform
  • Google Cloud
  • Microsoft Azure
  • Workflow Management
  • Distributed Computing
  • Science
  • Technical Support
  • Forecasting
  • GitHub
  • Business Acumen
  • Performance Management
  • Preventive Maintenance
  • Scheduling
  • Risk Management
  • Resource Allocation
  • Management
  • Capital Expenditures
  • Software Licensing
  • JD
  • Project Management
  • Modeling
  • High Performance Computing
  • HPC
  • Systems Modeling
  • Workflow
  • Programming Languages
  • Python
  • Fortran
  • C
  • C++
  • Artificial Intelligence
  • Machine Learning (ML)
  • Cloud Computing
  • Data Management
  • Agile
  • DevOps
  • Continuous Integration
  • Continuous Delivery
  • Financial Management
  • Security Clearance
  • Information Technology
  • Systems Engineering
  • FOCUS

Summary

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.


    Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
    • Dice Id: 10111346
    • Position Id: 2616861
    • Posted 6 hours ago

    Company Info

    About SAIC

    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. 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.

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