R&D S&E, Aerospace Engineer - Model Based Design, Onsite

About the role

We are seeking a motivated R&D S&E Engineering professional with modeling/simulation experience to work with our Model-Based Design team. The MBD capabilities enable more rapid component & system design by identifying designs that meet requirements via simulation, virtualizing many design/build/test iterations and shortening development lifecycles. Existing designs can be analyzed by introducing edge parameters and inducing failures and thus determining operational space. We utilize an empirical laboratory set to investigate model-, software, and hardware-in-the-loop design analysis and testing. Test methods, tester designs, and testing execution can be modeled/simulated to increase standardization, explore failure modes, and progress tester designs faster to meet requirements.

What Your Job Will Be Like

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

• Develop new and innovative design iterations & pathways, novel testing methods/models & tester designs, and investigate failure modes and mechanisms.
• Utilize MATLAB & Simulink, and other programming languages, such as Python, to model/simulate physics-based device functions, various environments, and explore State Machines.
• Evaluate incorporation of the latest AI (generative as well as traditional Machine and Deep Learning (ML/DL) capabilities into MATLAB & Simulink environments and train models for virtual sensing and reduced-order modeling.
• Deploy design models as on-device software using code generation workflows.
• Develop a standard/generic component/system with respect to reduced-order physics models, device requirements, environments, and product definition; develop associated test data that will become the quality basis for MBD capabilities.
• Understand and address existing and emerging digital threads within and external to Sandia, drive collaboration across the National Security Enterprise and other technology areas within Sandia.

Qualifications

• 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 acquire and maintain a U.S. DOE Q-level security clearance.

Desired Qualifications

• A Graduate degree in Aerospace/ Aeronautical Engineer or STEM field; a highly related field where an independent research project was a graduation requirement (e.g., independent project, thesis, or dissertation).
• Outstanding verbal and written skills, including the ability to develop and present briefings that are clear and compelling.
• Experience with MATLAB & Simulink, including toolboxes such as HDL Verifier, Simulink Test, and Simulink Fault Analyzer.
• Experience with HDL code and Questa ModelSim/Vivado.
• Experience with coding languages such as Python and C++.
• Familiarity with Speedgoat hardware-in-the-loop technology and using analytical models in hardware, software, and model emulation.
• The ability to assess and implement Simulink model behaviors based on hardware documentation, model-based systems engineering projects, and other model-based design elements for model-, software-, and hardware-in-the-loop.
• Excellent communication skills and a demonstrated ability to develop technical ideas and results and present them in oral and written form in a concise manner.
• Strong technical and people leadership skills.
• Experience leading interdisciplinary teams and engaging internal and external stakeholders of varying responsibility.

Our Team

In the Virtual Technologies and Engineering Department, we enable integrated digital engineering solutions that use Artificial Intelligence to increase innovation and reduce time to product delivery for Nuclear Deterrence and other National Security design, production, and sustainment needs. Our extended Reality Engineering Visualization (XREV) team enables interactive data knowledge, data understanding, and visualizations for data analysis and answering engineering questions at the desktop or in live collaboration across Nuclear Security Enterprise sites. We have a mature Model-Based Design capability team that utilizes reduced-order physics models and simulations to predict failure modes, assess environmental conditions, and speed up design cycles by reducing the number of builds/tests through simulation-enhanced design. Our Digital Thread Engineering team (DTE) develops and maintains data exchange and data flows connections and integrations between Digital Engineering datasets, databases, data tools, and models used at Sandia as well as gateway connectivity from Sandia to the Enterprise-level digital platform to enable Digital Transformation at Sandia and the NSE.

About Our Team

If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs. If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date.