Role Details

Location

Dallas, Texas

Salary (est. USD)

~$140K - $220K (est. USD)

Estimated based on role seniority, company stage (Series F), and industry benchmarks. Actual compensation may vary.

How is this calculated?

Seniority band Senior / Lead

Base range $140K – $220K

Based on Web3 & AI industry compensation data. Seniority is inferred from role title keywords. Company stage affects ranges: early-stage (−15%), late-stage/public (+10%).

Department

Software

Type

Full-time

Vertical

Robotics

Posted

1 week ago

Hiring Manager

Best Guess

Job Description

JOB DESCRIPTION:

The Software Integration & Operations (SIO) group turns frontier autonomy into mission-ready aircraft. We own the commit-to-flight pipeline—deterministic aircraft and mission simulation, HIL/VIL integration, CI/CD, automated flight qualification testing, and release engineering. Our goal is simple: make AI fly—safely, repeatably, and fast.

As a Modeling & Simulation Engineer, you will be responsible for improving and adding to our sensor and communications model suite so that our operator training and internal engineering pipelines have a seamless translation from sim to real results.

What You'll Do

Develop and enhance radar sensor models for use in simulation and evaluation of aeronautical vehicles.

Translate theoretical models into efficient, reliable C++ implementations with a focus on numerical accuracy and performance.

Validate models against real-world data and authoritative references, including field test data and calibration procedures.

Collaborate with simulation and training application teams to ensure models integrate cleanly into operator-facing tools.

Design automated validation and regression testing strategies for mathematical models to ensure fidelity across releases.

Prototype and evaluate new modeling techniques (reduced-order models, uncertainty quantification, machine learning–based surrogates) to push the state of the art.

Document assumptions, equations, and validation results so that both engineers and operators can trust model outputs.