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R&D Mechanical Engineer - Computational Fluid Dynamics - Hybrid jobs in United States
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Sandia National Laboratories · 19 hours ago

R&D Mechanical Engineer - Computational Fluid Dynamics - Hybrid

Sandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation. They are seeking a Mechanical Engineer to develop innovative approaches in computational fluid dynamics, focusing on simulation and algorithmic challenges. The role involves collaborating with researchers, developing mathematical models, and contributing to scientific publications.
GovernmentInformation TechnologyNational Security
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Growth Opportunities
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Responsibilities

Develop mathematical models and the numerical methods suitable for accurate simulation
Perform implementation of algorithms for high performance computing environments
Innovate in the use of AI/ML to accelerate scientific innovation
Work independently, collaborate with the team, and partner with customers
Contribute to scientific publications and presentations
Develop research proposals to tackle challenges that you identify

Qualification

Computational Fluid DynamicsNumerical ModelingMachine LearningApplied MathematicsResearch ProposalsVerbal CommunicationWritten CommunicationTeam Collaboration

Required

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

Preferred

Graduate degree in Mechanical Engineering or a highly related field where an independent research project was a graduation requirement (e.g., independent project, 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, and a passion to improve and expand technical skills
PhD in engineering, science, or mathematics
Strong foundations in applied mathematics and numerical modeling, in particular, in computational fluid dynamics
A track record of scientific achievement through publications and presentations
Experience developing models and numerical methods for the accurate simulation of physical systems with fluid flows
Ability to find creative solutions to models and algorithm challenges
Experience in using or developing Machine Learning for advancing predictability of science and engineering simulations
Interest or experience in working on applications involving fluid flows, such as systems with suspensions, non-Newtonian flows, geophysical flows, or aerodynamics
Demonstrated ability to form strong collaborations across disciplines and organizations
Proven ability to contribute in a fast-paced learning environment of new projects and to deliverable on project milestones
Evidence of being on a path to developing an independent research career through proposals, publications, and supervising other researchers

Benefits

Generous vacation
Strong medical and other benefits
Competitive 401k
Learning opportunities
Relocation assistance
Amenities aimed at creating a solid work/life balance

Company

Sandia National Laboratories

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Sandia is a conducts research and development into the non-nuclear components of nuclear weapons.

Funding

Current Stage
Late Stage
Total Funding
$4.4M
Key Investors
US Department of EnergyARPA-E
2023-09-21Grant· $0.5M
2023-07-27Grant
2023-01-10Grant· $3.7M

Leadership Team

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Laura McGill
Deputy Laboratories Director - Nuclear Deterrence, and Chief Technology Officer
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Maria Gallardo
CFO Enterprise Risk Management Program Lead
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Recent News

Inside HPC & AI News | High-Performance Computing & Artificial Intelligence
Inside HPC & AI News | High-Performance Computing & Artificial Intelligence
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