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Research Software Engineer III; Hybrid Eligible

Job in Oak Ridge, Anderson County, Tennessee, 37830, USA
Listing for: Oak Ridge National Laboratory
Full Time position
Listed on 2026-10-16
Job specializations:
  • Software Development
    Software Engineer, Cloud Engineer - Software, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 105000 - 140000 USD Yearly USD 105000.00 140000.00 YEAR
Job Description & How to Apply Below
Position: Research Software Engineer III (Hybrid Eligible)
Overview

The Geoinformatics Engineering Group, within the Human Dynamics Section of the Geospatial Science and Engineering Division at ORNL is seeking a Software Engineer. We are looking for candidates to assist and lead developers in creating next-generation technologies supporting operational situational awareness products. These candidates will bring fresh ideas from areas including information retrieval, distributed computing, large-scale system design, networking and data storage, artificial intelligence, and data processing workflows.

Our staff need to be flexible and enthusiastic to take on problems across the software stack as we continue to solve complex national scale security problems in the areas of spatial computing.

Requisition

Overview

The Geoinformatics Engineering Group, within the Human Dynamics Section of the Geospatial Science and Engineering Division at ORNL is seeking a Software Engineer. We are looking for candidates to assist and lead developers in creating next-generation technologies supporting operational situational awareness products. These candidates will bring fresh ideas from areas including information retrieval, distributed computing, large-scale system design, networking and data storage, artificial intelligence, and data processing workflows.

Our staff need to be flexible and enthusiastic to take on problems across the software stack as we continue to solve complex national scale security problems in the areas of spatial computing. As part of our outstanding organization, you will focus on leading teams that implement geospatial systems and data solutions for high-volume and high-velocity data applications. The proposed solutions will include high-performance computing that can be applicable for several geospatially focused research and development projects in the domains of energy, transportation, and other cross-disciplinary geospatial applications.

The software engineer works with research scientists across the lab with the primary goal of researching and developing cutting edge software solutions to complex problems while leveraging the lab’s world-class resources.

Major Duties/Responsibilities
  • Develop software to support project-specific applications of spatial computing, real-time data platforms, and machine intelligence systems.
  • Lead and contribute to diverse teams of developers and software development efforts to support new and ongoing research.
  • Develop geospatial software and digital map layers as services.
  • Work with researchers and project sponsors to capture, understand, integrate, and implement project requirements in developed services and software.
  • Deliver ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.
Basic Qualifications
  • BS with 8 years of experience or MS with 7 years of experience or a PhD with 2 years of experience in engineering, computer science, physics, mathematics, natural sciences, or related field.
  • Experience with programming languages (Java, Python, C++, etc.) or frontend web application frameworks (Angular, React, Vue, etc.).
  • Leadership experience for development teams as either a technical lead or scrum master.
  • Experience with spatial enabled databases (Postgresql with PostGIS) or No

    SQL Database or frontend use of data APIs to support data exchange.
Preferred Qualifications
  • Understanding of the full software development lifecycle from planning to operations.
  • Understanding of cloud and cloud-native technologies and infrastructure-as-code for automated deployment for distributed systems.
  • Experience in software…
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