Missile Defense Modeling Architect - Onsite in Huntsville

Ansys, Inc.; Exton (PA); On-site; USD 140,000 - 230,000; Full time

Benefits offered by this job

Annual bonus

Equity

Total rewards

Job summary

Ansys invites a senior modeling engineer to join the Government Initiatives team in Huntsville, AL, focusing on air and missile defense simulations. You will build high-fidelity threat models and radar phenomenology, integrating with STK/AFSIM frameworks for DoD programs and DoD stakeholders.

You will guide modeling requirements, accuracy, and bias checks, ensuring physics-based fidelity and robust AI-enabled simulation for acquisition decisions and defense planning.

Qualifications

• Bachelor's degree in Engineering, Physics, Computer Science or related field; 12+ years experience, or Master’s 10+ years, or PhD 7+ years.
• US citizen with active DoD TS/SCI clearance.
• Deep domain knowledge in air and missile defense systems, including sensor architectures and threat trajectories.
• Experience modeling radar phenomenology and RF sensing systems.
• Hands-on experience with missile flight dynamics and trajectory impacts on sensors.

Responsibilities

• Build high-fidelity models of threat trajectories and sensor behaviors across RF, IR and other spectra.
• Develop radar phenomenology models for various bands and sensor architectures.
• Create synthetic datasets for AI/ML training with target-present and absent scenarios.
• Collaborate with experts and government stakeholders to ensure fidelity to requirements and physics.

Skills

Radar phenomenology

Threat modeling

MATLAB

Python

STK

AFSIM

Education

Bachelor's degree in Engineering/Physics/CS

Tools

STK

AFSIM

Python

MATLAB

Job description

Ansys invites a senior modeling engineer to join the Government Initiatives team in Huntsville, AL, focusing on air and missile defense simulations. You will build high-fidelity threat models and radar phenomenology, integrating with STK/AFSIM frameworks for DoD programs and DoD stakeholders.

You will guide modeling requirements, accuracy, and bias checks, ensuring physics-based fidelity and robust AI-enabled simulation for acquisition decisions and defense planning.