Senior​/Principal Computational Thermal​/AeroThermal Analyst, Onsite

About Sandia

Sandia National Laboratories is the nation’s premier science and engineering laboratory for national security and technology innovation. We focus on cutting‑edge work across a broad array of areas and pride ourselves on the following:

• Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
• Extraordinary co‑workers
• Some of the best tools, equipment, and research facilities in the world
• Career advancement and enrichment opportunities
• Flexible work arrangements for many positions, including 9/80, 4/10 compressed workweeks, part‑time work, and telecommuting
• Generous vacation, strong medical and other benefits, competitive 401(k), learning opportunities, relocation assistance, and amenities aimed at creating a solid work/life balance

We are seeking a technical staff member (job title: R&D S&E Mechanical Engineer) to join a collaborative team that uses state‑of‑the‑art analytical and computational simulation techniques to perform first‑of‑a‑kind engineering system analysis and thermal science research with a direct impact on national security. The successful candidate will use and potentially develop state‑of‑the‑art tools and models to perform computational simulations in support of applied R&D projects across our national security, nuclear deterrence, and energy mission applications.

• Perform thermal, fluid dynamics and/or reacting material research, development, modeling, and simulation to support a variety of projects for internal (Sandia) and external customers
• Use engineering analysis principles and computational methods to support the design, qualification, and fielding of high‑consequence engineered systems for national security missions
• Use and/or develop state‑of‑the‑art tools and models to conduct computational simulations (fluid dynamics, turbulent flow, multiphase flow, conductive/convective/radiative transport, thermal‑mechanical, reacting flow, porous media flow and heat transfer, and thermal decomposition)
• Apply and develop uncertainty quantification techniques and assess model credibility through verification & validation principles
• Identify opportunities to modularize, automate, and streamline analysis workflows to reduce repetitive tasks and improve efficiency
• Engage with code and model development teams to develop and implement novel models and capabilities for high‑performance computing algorithms and environments
• Collaborate on digital‑thread initiatives by developing credible, reliable, and well‑documented analysis code utilizing modern software best practices
• Work closely with teams of code/model developers, analysts, and experimentalists to develop and implement novel models and capabilities for high‑performance computing algorithms and provide validated simulation results for complex and challenging R&D problems
• Serve as a technical bridge and systems‑minded connector between physics analysis teams, software development groups, and experimentalists
• Collaborate and interact closely with a geographically‑dispersed team, including engineers and other researchers and analysts across the laboratory at both the California and New Mexico sites

Due to the nature of the work, the selected applicant must be able to work onsite. The preferred work location for this position is Livermore, CA;
Albuquerque, NM may be considered with regular travel to CA.

$139,900 - $280,600

• A bachelor's degree in a relevant discipline and five (5) years of directly relevant experience, or an equivalent combination of directly relevant education and engineering or scientific experience that demonstrates the capacity to perform independent research and development
• Ability to obtain and maintain a US DOE Q‑level security clearance

• Graduate degree in Mechanical Engineering or a highly related field where an independent research project was a graduation requirement (e.g., thesis or dissertation)
• Experience with mechanical engineering and product realization in the NNSA complex
• Strong verbal and written communication skills, ability to work effectively in multidisciplinary teams
• Strong…