SAIC

Modeling Systems Project Manager

SAIC • $120K — $145K *
Princeton, NJ 08540In-Person
Technical Services
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree with 10+ years of experience, or Master's with 8+ years, or PhD/JD with 5+ years.
  • Project management experience in scientific software or HPC settings.
  • Familiarity with Earth system modeling and key programming languages (Python, Fortran, C/C++).
  • Understanding of AI/ML principles, multi-cloud environments, and data management in distributed systems.
  • Expertise in Agile methodology, DevOps tools, and IT financial management.

Responsibilities

  • Manage the scientific software engineering lifecycle using Agile and hybrid frameworks with a focus on specific programming languages.
  • Oversee automated testing and version control systems while managing scientific software ecosystems and build systems.
  • Lead the deployment in HPC and cloud settings, including GPU-accelerated and cloud-native architectures.
  • Facilitate workflows for Earth system model runs, coordinating data movement in distributed computing setups.
  • Champion integration of AI/ML applications in scientific projects, enhancing technical support and forecasting.
  • Direct project governance, including scope, scheduling, and risk management, focusing on IT financials.

Benefits

  • Opportunity to work on cutting-edge Earth system modeling
  • Engagement in complex projects that integrate AI/ML technologies
  • Collaborative work bridging scientific research and technical execution
  • Exposure to a variety of computing architectures and environments
  • Participation in the ongoing evolution of modeling systems and HPC infrastructure.
Full Job Description
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.


About SAIC

Science Applications International Corporation (SAIC) is a technology integrator in the technical, engineering, intelligence, and enterprise information technology markets. SAIC has approximately 26,000 employees and operates in more than 70 countries. The company was founded in 1969 and is headquartered in Reston, Virginia. SAIC provides services to the U.S. government, including the Department of Defense, the intelligence community, and civilian agencies. The company also serves commercial customers in the healthcare, energy, and financial services sectors.
Learn more about SAIC
Size
26,000 employees
Market Cap
$6 billion
Industry
Information Technology
Net Income
$206 million
Founded
1969
5 Year Trend
+10.7%
Revenue
$6.8 billion
NASDAQ
SAIC
* Ladders Estimates

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