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LocationCO - Golden.
Position TypeIntern (Fixed Term).
Hours Per Week40.
Working at NLRNLR is located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development.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.
Job DescriptionSeeking 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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Basic QualificationsMinimum of a 3.0 cumulative grade point average.Undergraduate: Must be enrolled as a full-time student in a bachelor’s degree program from an accredited institution.
Post Undergraduate: Earned a bachelor’s degree within the past 12 months. Eligible for an internship period of up to one year.
Graduate: Must be enrolled as a full-time student in a master’s degree program from an accredited institution.
Post Graduate: Earned a master’s degree within the past 12 months. Eligible for an internship period of up to one year.
Graduate + PhD: Completed master’s degree and enrolled as PhD student from an accredited institution.
Please Note:
• Applicants are responsible for uploading official or unofficial school transcripts, as part of the application process.
• If selected for position, a letter of recommendation will be required as part of the hiring process.
• Must meet educational requirements prior to employment start date.
* Must meet educational requirements prior to employment start date.
Additional Required Qualifications1-2 years of programming experience.Preferred QualificationsHighest 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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Job Application Submission WindowThe anticipated closing window for application submission is up to 30 days and may be extended as needed.
Annual Salary Range (based on full-time 40 hours per week)Job Profile: / Annual Salary Range: $44,500 - $71,200NLR 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.
Benefits SummaryBenefits include medical, dental, and vision insurance; 403(b) Employee Savings Plan with employer match*; and sick leave (where required by law). NLR employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement. Internships projected to be less than 20 hours per week are not eligible for medical, dental, or vision benefits.* Based on eligibility rules
Badging RequirementNLR is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation. Intern assignments extending beyond six months will be subject to this requirement.Drug Free WorkplaceNLR 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.
Submission GuidelinesPlease 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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Equal Opportunity EmployerAll 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.
Reasonable Accommodations
E-Verify www.dhs.gov/E-Verify For information about right to work, click here for English or here for Spanish.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.