Drimva

Shield AI

Modeling & Simulation Engineer (R4869)

$130K–$220K

Seattle, Washington +3 · On-site · Full-time · Posted Apr 25, 2026

Location
Seattle, Washington
Boston, Massachusetts
Dallas, Texas
San Diego, California
Experience
7+ years; exceptional candidates with less experience and demonstrated depth will be considered.
Education
BS in Computer Science, Aerospace, Robotics, or related field.
Visa sponsorship
Must be eligible to obtain a Secret Clearance; Secret clearance eligibility requires US Citizenship.

About the job

Develop and validate high-performance aircraft simulation software and models to support autonomous flight development and integration.

What you'll do

  • Build C++ simulation infrastructure and aircraft models, including deterministic, high-performance simulation software.
  • Lead model verification and validation and analyze system performance against test and vendor data.
  • Collaborate across engineering teams to make simulations reflect aircraft behavior and mission scenarios; guide junior engineers.

What they ask for

  • Bachelor’s degree in Computer Science, Aerospace, Robotics, or a related field.
  • 7+ years of simulation software development experience with C++ competency; exceptional candidates with less experience and demonstrated depth will be considered.
  • Understanding of rigid-body dynamics, kinematics, and dynamic-system physics; experience developing or integrating simulation systems for complex dynamic systems.
  • Experience with simulation verification and validation; ability to debug complex build and runtime environments; must be eligible to obtain a Secret Clearance, which requires US Citizenship.

Nice to have

  • MS or PhD in a related field; active Secret or Top Secret Clearance desired.
  • Experience with C++20 or later, real-time and deterministic software design, DevOps-integrated simulation, Hardware- or Software-in-the-Loop, or autonomous aircraft systems.

Pay

USD 130,000–220,000 per-year-salary (base salary)

Tools

C++, C++20, CI/CD, CMake, Conan, Nix, GTest, Python

AI focus

Develop simulation tools and aircraft models to evaluate and integrate autonomous flight algorithms, including use of surrogate machine learning methods.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)