Sandia National Laboratories R&D Computational Simulation Mechanical Engineer (Experienced) in Albuquerque, New Mexico
Are you passionate about your work and dream of utilizing state-of-the-art facilities to explore solutions? Do you want to join a dynamic team that helps tackle some the most challenging issues facing our nation's security?
You could be the engineer we are seeking to join our dynamic team supporting Computational Simulation Engineering for research, development and application of verification, validation, and uncertainty quantification processes and algorithms to challenging computational simulation studies in support of core Sandia mission areas.
On any given day you may be called on to:
- You will perform credibility assessments, high performance computing-based simulations and data analysis in partnership with engineering sciences staff in a wide range of discipline areas
- Develop verification tests to assess simulation code correctness
- Designing computational simulation studies to quantify uncertainties arising from inherent variabilities and epistemic uncertainties
- Performing and analyzing discretization studies to assess and estimate numerical bias errors in model solutions
- Perform model validation studies by analyzing and comparing simulation and experimental data to compute validation metrics and assess simulation model predictive accuracy
- Enabling and performing reliability studies for risk-informed decision making, with a credible and quantified predictive basis
Support other areas of interest, including:
Experimental data uncertainty analysis/modeling
- Decision support
- Design of experiments
- Inverse problems and calibration
- Model bias/discrepancy modeling
- Optimization under uncertainty
- Random variables/fields
- Risk assessment
- Sampling methods
- Sensitivity analysis
- Spatial temporal statistical analysis
- Stochastic or spectral uncertainty methods
- Surrogate or reduced-order models
- Uncertainty propagation
- Visualization of uncertainties
Your qualifications should include:
- BS and MS degree in a relevant STEM discipline plus two years of relevant experience
- Knowledge of computational modeling and simulation, including mathematical modeling and solution of coupled systems of partial differential equations (PDEs)
- Experience with simulation codes (finite element, finite difference, finite volume, particle-in-cell (PIC), etc.) for engineering simulation
- Experience with Monte Carlo and Latin Hypercube sampling for uncertainty quantification, reliability methods (FORM, SORM), sensitivity methods, optimization and/or stochastic expansion methods
- Ability to obtain and maintain a DoE Q clearance
- PhD degree in a relevant STEM discipline
- An interest in modeling heat transfer and reaction mechanism in complex engineering systems
- Experience with analyzing engineering systems in thermal environments using computational modeling
- Strong verbal and written communication skills and an ability to interact well with fellow technical workers of diverse technical backgrounds
- History of publication of results in peer-reviewed journals and external presentations at appropriate scientific conferences
- Software development experience, including working with development teams using object-oriented frameworks
The mission of the V&V, UQ, Credibility Processes (1544) is to provide research, development, and application of mathematical and experimental techniques to assess the credibility of physics-based computational simulations. The multi-disciplinary team, experienced in simulation and experimentation, draws from a wide range of disciplines, including fluid dynamics, electromagnetics, radiation effects, solid and structural mechanics, heat transfer, numerical methods, optimization, statistics, and risk assessment, to support the laboratories mission. Verification determines whether a computational model accurately represents the conceptual-mathematical model of a physical process, and that the computational model is solved correctly. This requires an exacting knowledge of models and their numerical approximations when implemented into codes. Validation determines, quantitatively, the degree of agreement between experimental data and simulation data, including their respective uncertainties. Uncertainty quantification is a key element of validation and it encompasses a broad range of mathematical and statistical analysis methods. The combination of verification, validation, and uncertainty quantification establishes credibility in our computational models, which are then employed in making high-consequence risk-informed decisions. The analysis tools developed in 1544 can be used to (1) focus and prioritize research and development expenditures, (2) mitigate risk through exploration of system design alternatives, (3) optimize products and process in the presence of both uncertain and variable parameters, and (4) support risk-informed decision making based on statistically-quantified data.
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. Some of the main reasons we love our jobs:
- Challenging work withamazingimpact 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 schedules, generous vacations,strongmedical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*
World-changing technologies. Life-changing careers. Learn more about Sandia at: http://www.sandia.gov
*These benefits vary by job classification.
Position requires a Department of Energy (DOE) granted Q-level security clearance.
Sandia is required by DOE directive to conduct a pre-employment drug testing, and a pre-employment background review that includes personal reference checks, law enforcement record and credit checks, and employment and education verifications. Applicants for employment must be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship.
Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by the DOE, rendering the inability to perform the duties assigned and resulting in termination of employment.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.