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 team integrates reduced-order physics models with MATLAB & Simulink-based modeling and data analysis to simulate designs, explore parameter spaces, predict failures, and model and evaluate testing methodologies.

Responsibilities

• 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.
• Prototype automated design workflows and applications to support specific customer needs.
• 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.

Requirements

• 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.

Qualifications

• 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).
• Ability to work independently and collaborate well in a multidisciplinary team of designers and test engineers.
• 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++.
• Experience with modeling and simulating subcomponent digital communication and HDL operations for an Arming, Fuzing, and Firing system within Simulink or other tools.
• 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.

Benefits

• Flexible work arrangements for many jobs 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.

Pay

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. Salary range is $117,500 - $235,700.

Schedule

Due to the nature of the work, the selected applicant will be required to work onsite.

Skills

• Model-Based Design
• Modeling and Simulation
• Artificial Intelligence
• Machine Learning
• Deep Learning
• Hardware-in-the-Loop
• Code Generation
• Embedded Systems
• System Modeling
• Test Methodology
• Failure Analysis
• Design Iteration
• Software Development
• Hardware Development
• Engineering Leadership
• Collaboration
• Communication
• Technical Writing
• Project Management
• Teamwork
• Stakeholder Engagement

Benefits

• Medical and dental insurance
• Retirement savings plan
• Flexible spending accounts
• Life and disability insurance
• Short-term and long-term disability insurance
• Employee assistance program
• Telemedicine services
• Wellness programs
• Professional development opportunities
• Flexible work arrangements
• Relocation assistance
• Onsite amenities