R&D Computational Fluid Developer - Soft Material Sciences, Onsite

About Sandia

Sandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting‑edge work in a broad array of areas.

• 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 include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten‑hour days each week) compressed workweeks, part‑time work, and telecommuting (a mix of onsite work and working from home)
• Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*

We are seeking a R&D Computational Fluid Developer to support the Soft Material Sciences team.

• Develop reduced order models for thin viscoelastic flows and suspension flows in three dimensions.
• Support algorithm development for population balance models coupled to fluid‑thermal transport for precipitation models.
• Run large‑scale HPC, cutting‑edge simulations of multi‑physics foam simulations.
• Conduct research to validate models and publish results.
• Travel as needed to present results at technical conferences and support projects.

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 and five (5) years of directly relevant experience, 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.
• Ability to obtain a DOE Q clearance.

• Master's Degree and 5 years of experience in Engineering, Physics, Computer Science, Material Science, Applied Math, or other related fields.
• Theoretical expertise in the physics and mechanics of foams and viscoelastic fluids.
• Demonstrated proficiency in finite element methods and code development for large code projects.
• Experience with high performance computing, parallel simulations and porting software to different machines.
• Demonstrated scientific programming skills including computational modeling and using the Linux operating system.
• Good communication skills as evidenced by a history of publication of results in peer‑reviewed journals and external presentations at appropriate scientific conferences.

• Experience with free surface algorithms such as level set and moving mesh methods.
• Experience maintaining and developing open‑source software.
• Experience with user support and multi‑organizational collaborations.
• Experience using scientific machine learning.
• Experience with population balance methods especially quadrature method of moments.
• Demonstrated ability to work in large, multi‑disciplinary teams.
• Demonstrated ability to solve complex multiscale problems in physics.

The Soft Material Sciences R&D Department conducts applied research on the structure and behavior of complex engineered material systems exhibiting coupled physical processes that span multiple length and time scales. This research encompasses theoretical/computational and experimental methods and analysis of energetic (propellants, explosives, pyrotechnics) and soft materials (complex fluids, aerosols, polymers, powders and particles) and multiphase/composite systems. We support partner organizations in scientific assessments for design, production, performance and safety of material systems (e.g., critical components) as well as in the development and manufacturing of novel materials for high consequence, extreme environment applications.

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