R&D Nuclear Engineer - Applied Nuclear Technologies, Onsite

Job

Location:

Albuquerque, NM

The Applied Nuclear Technologies department is seeking an early- to mid-career Nuclear Engineer to support technically challenging work in service of nation's security missions. In this role, you will contribute to the development, execution, and analysis of experiments focused on radiation effects in materials and electronics.

You will work as part of a multidisciplinary team supporting mission-driven programs and will be expected to contribute across a range of activities, including hands‑on experimental work, modeling and simulation, numerical data analysis, and technical and Work Planning and Control (WP&C) documentation. The successful candidate will be a self‑motivated engineer or scientist who is excited to contribute to demanding experiments and take ownership and grow into a leadership role.

On any given day, you may be called on to:

• Support the planning, setup, execution, and post‑test analysis of radiation effects experiments.
• Apply knowledge of radiation interactions with materials to interpret results and support the design of experiments.
• Work with a team to use MCNP and related computational tools to enhance understanding of experiments.
• Process, analyze, and visualize experimental or simulation data using Python, MATLAB, or similar technical tools.
• Prepare technical reports, presentations, and other documentation that clearly communicate methods, results, and recommendations.
• Work closely with scientists, engineers, and technologists in a collaborative team environment.
• Contribute to both hands‑on laboratory/test activities and office‑based work.

Due to the nature of the work, the selected applicant must be able to work onsite.

$102,400 - $199,700

* Salary range is estimated, and actual salary will be determined after consideration of the selected candidate's experience and qualifications, and application of any approved geographic salary differential.

• A bachelor's degree in a relevant discipline, or an equivalent combination of directly relevant education and engineering or scientific experience that demonstrates the knowledge, skills, and ability to perform independent research and development.
• The ability to obtain and maintain a DOE Q-clearance.

The ideal R&D S&E Nuclear Engineer candidate for Sandia National Laboratories will in addition possess the following:

• Graduate degree in Nuclear Engineering or a highly related field where an independent research project was a graduation requirement (e.g. independent project, thesis, or dissertation).
• Operational experience with radiological and/or nuclear facilities.
• Experience performing radiation transport modeling.
• Knowledge of criticality safety and criticality analysis.
• Strong verbal and written communication skills and the ability to work effectively in multidisciplinary teams.

Also, for this posting we are seeking individuals with the following experience:

• Experience or background in radiation interactions with materials.
• Experience supporting or conducting experimental work, including test execution, data collection, analysis, and interpretation.
• Experience using Python, MATLAB, or similar tools for numerical data processing, analysis, and visualization.
• Ability and interest to work in a role that combines hands‑on experimental activities with office‑based modeling, planning, analysis, and reporting.
• Demonstrated self‑motivation, strong work ethic, and ability to take initiative in a technically demanding environment.
• Familiarity with MCNP for radiation transport or related nuclear engineering analyses.
• Experience in nuclear engineering, radiation effects, experimental science, or related technical work.
• Experience helping lead or coordinate experimental activities, test campaigns, or technical tasks.
• Experience applying computational modeling to support experimental design or interpret results.
• Familiarity with radiation effects testing, detector systems, dosimetry, or nuclear measurements.
• Experience with uncertainty analysis, statistical methods, or validation of simulation results against data.
• Demonstrated interest in applying…