Posted:
2/2/2026, 1:16:15 AM
Location(s):
Colorado, United States ⋅ Ümraniye, Istanbul, Turkey ⋅ Istanbul, Turkey ⋅ Golden, Colorado, United States
Experience Level(s):
Internship
Field(s):
Software Engineering
Workplace Type:
Remote
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Join the National Laboratory of the Rockies (NLR), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth.
At NLR, you'll find a mission-driven environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being.
Seeking full- or part-time graduate or highly qualified undergraduate candidates to join the NLR Center for Integrated Mobility Sciences. We are looking for candidates passionate about software development, code optimization, and reproducible science to engineer the next generation of modeling tools. You will work alongside domain researchers to professionalize codebases, build scalable data pipelines, and develop robust frameworks that quantify the implications of emerging transportation technologies.
Key Responsibilities
Engineer Research Software: Collaborate with researchers to translate complex transportation energy concepts into robust, modular, and maintainable software libraries; focus on refactoring legacy scripts into production-grade tools.
Build Scalable Data Pipelines: Architect and implement high-performance computing (HPC) workflows to ingest, clean, and process large-scale geospatial and mobility datasets efficiently.
Optimize Existing Tools: Enhance the performance and reliability of existing tools and models; implement parallelization strategies, improve memory management, and ensure code scalability.
Ensure Software Quality: Champion software engineering best practices within the research team, including implementing unit/integration testing, setting up CI/CD pipelines, and managing version control (Git) workflows.
Documentation & Dissemination: create comprehensive technical documentation (e.g., Sphinx, ReadTheDocs) for developed tools; assist in the technical writing for peer-reviewed publications regarding model architecture and computational methods.
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* Must meet educational requirements prior to employment start date.
Highest priority preferred qualifications:
Rust & Python Proficiency: Strong skills in Python for orchestration, with experience in (or a strong desire to learn) Rust for performance-critical tasks.
Engineering Best Practices: Practical experience with Git collaboration, automated unit testing (pytest, cargo test), and CI/CD pipelines.
High-Performance Data: Ability to write memory-efficient code for large datasets using modern tools like Polars, PySpark, or Dask.
Model Implementation: Skill in translating mathematical concepts and research logic into optimized, modular software components.
Technical Documentation: Ability to write clear, developer-focused documentation (e.g., API docs, READMEs) rather than just general reports.
Additional preferred qualifications:
Cumulative undergraduate/graduate GPA over 3.5 on a 4.0 scale.
Please include all relevant experience and qualification information on the uploaded PDF (or MS Word) copy of your resume or CV.
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The anticipated closing window for application submission is up to 30 days and may be extended as needed.
NLR takes into consideration a candidate’s education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee’s salary history will not be used in compensation decisions.
* Based on eligibility rules
NLR is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug.
If you are offered employment at NLR, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn.
Please note that in order to be considered an applicant for any position at NLR you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.
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All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.
E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce.
Website: https://www.nrel.gov/
Headquarter Location: Golden, Colorado, United States
Employee Count: 1001-5000
Year Founded: 1977
IPO Status: Private
Last Funding Type: Grant
Industries: Clean Energy ⋅ CleanTech ⋅ Energy ⋅ Renewable Energy