*** Currently, we are searching for experienced candidates in the Colorado Springs, CO area or Exton, PA area.***
We Are
Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow.
You Are
You have spent years building simulation environments that model what actually happens when a missile launches, not what should happen in theory. You understand that the difference between a useful threat model and an academic exercise is whether it accounts for the messy reality of radar cross-sections changing during staging events, IR signatures evolving through flight phases, and sensors trying to make sense of it all in real time.
You are comfortable translating a customer's operational problem into a simulation architecture that can answer it. When someone asks whether a new sensor configuration can detect a specific threat class, you know which physics matter, which can be approximated, and how to build the model that gives them a real answer. You have worked with actual radar data, not just textbook equations, and you know what X-band sees differently than S-band because you have debugged the models that got it wrong.
You think in kill chains. Detection, tracking, discrimination, engagement decisions, the whole sequence matters, and you build simulations that respect those dependencies. You also know that the synthetic data you generate today will train the ML models that make those decisions tomorrow, so you care deeply about fidelity, edge cases, and bias.
At Synopsys, you will work with defense customers who need your expertise to make hard decisions about billion-dollar systems. Your models will matter.
What You'll Be Doing
Build high-fidelity simulation environments for air and missile defense systems, modeling threat trajectories, staging events, and multi-modal signatures across RF, IR, and other sensor-observable spectra
Model radar phenomenology and sensor architectures, representing how different radar bands and configurations observe and interpret target behavior during detection, tracking, and discrimination
Develop signature simulation capabilities that capture realistic missile launch dynamics, plume characteristics, and time-varying observables that drive sensor performance
Design and generate synthetic training datasets for AI/ML systems used in sensor fusion, target discrimination, and battle management, ensuring both target-present and target-absent scenarios to reduce algorithmic bias
Integrate threat models and sensor simulations into larger operational frameworks using tools like STK and AFSIM, supporting kill chain analysis from detection through engagement
Collaborate with subject matter experts in signature characterization, sensor physics, and threat modeling to ensure simulation accuracy and technical credibility with government customers
Deliver technical briefings and documentation to stakeholders ranging from engineering teams to program leadership, translating complex modeling decisions into clear operational insights
The Impact You Will Have
Your simulation environments will inform acquisition decisions for missile defense systems that protect national security infrastructure
The synthetic datasets you generate will train machine learning models that improve threat detection and discrimination accuracy in operational systems
Your radar and signature modeling expertise will help customers understand sensor performance trade-offs before committing to hardware development
The fidelity of your threat models will enable more realistic testing of battle management algorithms, reducing risk in system integration
Your ability to represent complex…