Hybrid Aerospace Engineer – Model‑Based Design

Sandia National Laboratories; New Mexico; On-site; USD 117,500 - 235,700; Full time

Benefits offered by this job

9/80 schedule

4/10 schedule

Telecommuting options

Relocation assistance

Job summary

Sandia National Laboratories seeks an R&D S&E Aerospace Engineer focused on Model‑Based Design, onsite in New Mexico. The role involves advancing design iterations, simulating physics-based device functions in MATLAB/Simulink, and integrating AI techniques to speed development cycles.

Strong collaboration across multidisciplinary teams and the ability to obtain a DOE Q clearance are required. The team emphasizes innovative testing methodologies, state machines modeling, and hardware‑in‑the‑loop

Qualifications

• Bachelor’s degree in a relevant discipline with five years of directly relevant experience or equivalent.
• Ability to obtain and maintain a U.S. DOE Q‑level security clearance.

Responsibilities

• Develop and evaluate design iterations, testing methods, and failure analyses.
• Model and simulate physics-based functions using MATLAB & Simulink across environments.
• Prototype automated design workflows and support customer needs.
• Explore AI capabilities within MATLAB & Simulink and train models for virtual sensing.
• Deploy design models as on-device software using code generation workflows.
• Lead interdisciplinary teams and collaborate with stakeholders.

Skills

MATLAB/Simulink

Python

C++

HDL Verifier

Questa ModelSim

Simulink/Test

AI/ML

Model-based design

Education

Bachelor's degree

Tools

HDL Verifier

Simulink

Simulink Test

Simulink Fault Analyzer

Questa ModelSim

Vivado

Speedgoat

Job description

Sandia National Laboratories seeks an R&D S&E Aerospace Engineer focused on Model‑Based Design, onsite in New Mexico. The role involves advancing design iterations, simulating physics-based device functions in MATLAB/Simulink, and integrating AI techniques to speed development cycles.

Strong collaboration across multidisciplinary teams and the ability to obtain a DOE Q clearance are required. The team emphasizes innovative testing methodologies, state machines modeling, and hardware‑in‑the‑loop