Modeling Systems Project Manager

Saic; Princeton (NJ); On-site; USD 120,000 - 160,000; Full time

Job summary

SAIC is seeking a specialized Project Manager to lead modeling systems software engineering, infrastructure, and HPC programs in Earth system modeling. You will coordinate development, deployment, and data workflows across on-prem and cloud environments.

You will work with Python, Fortran, C/C++, DevOps, Git, Spack, and AI/ML tooling, aligning scientific research with execution, and communicating with executives and contractors.

Qualifications

• PM experience in scientific software, modeling or HPC.
• Experience with Earth system modeling workflows and Python, Fortran, C/C++.
• Knowledge of AI/ML concepts, multi-cloud architectures, and distributed data management.
• Strong Agile, DevOps/CI/CD, and IT financial management skills.

Responsibilities

• Lead software development lifecycles using Agile/hybrid methods.
• Oversee automated testing, version control, and scientific ecosystems.

Skills

Python

Fortran

C/C++

Agile

DevOps

Git

Spack

Cloud platforms

Education

Bachelor’s degree +10+ years

Master’s degree +8+ years

PhD or JD +5+ years

Tools

Spack

Git

Docker

Kubernetes

AWS

Google Cloud

Azure

Job description

Description

SAIC is looking for a specializedProject 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.