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Senior Modeling Simulation Engineer information

What is a Senior Modeling Simulation Engineer?

A Senior Modeling Simulation Engineer is a specialized professional who develops, analyzes, and maintains computer models and simulations to predict the behavior of complex systems. They typically work in industries such as aerospace, defense, automotive, or manufacturing, using advanced mathematical and computational techniques. Their role involves translating real-world processes into virtual models, analyzing simulation results, and providing insights to guide design or operational decisions. Senior engineers also mentor junior staff, lead projects, and collaborate with cross-functional teams to solve technical challenges.

What are some common challenges faced by Senior Modeling Simulation Engineers when integrating new simulation tools into existing workflows?

Senior Modeling Simulation Engineers often encounter challenges such as ensuring compatibility between new simulation tools and legacy systems, managing data migration, and maintaining simulation accuracy during transitions. Collaboration with software developers and IT specialists is usually essential to address integration issues and optimize performance. Additionally, adapting internal processes and training team members on updated tools can require significant time and coordination, but these efforts ultimately enhance workflow efficiency and simulation outcomes.

What are the key skills and qualifications needed to thrive as a Senior Modeling Simulation Engineer, and why are they important?

To thrive as a Senior Modeling Simulation Engineer, you need expertise in mathematical modeling, simulation techniques, and a strong background in engineering or applied sciences, typically supported by a relevant bachelor’s or master’s degree. Proficiency with technical tools such as MATLAB, Simulink, Python, and specialized simulation software, along with knowledge of systems engineering standards, is essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with multidisciplinary teams and convey complex technical concepts. These skills ensure the development of accurate, reliable models that inform critical engineering decisions and drive project success.
What are the most commonly searched types of Modeling Simulation Engineer jobs in California? The most popular types of Modeling Simulation Engineer jobs in California are:
What are popular job titles related to Senior Modeling Simulation Engineer jobs in California? For Senior Modeling Simulation Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Senior Modeling Simulation Engineer jobs in California look for? The top searched job categories for Senior Modeling Simulation Engineer jobs in California are:
What cities in California are hiring for Senior Modeling Simulation Engineer jobs? Cities in California with the most Senior Modeling Simulation Engineer job openings:
Senior Modeling Simulation Engineer jobs near you
Infographic showing various Senior Modeling Simulation Engineer job openings in California as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution.
Senior Engineer, XBAT Simulation Modeling (R4546) (TX/SD/BOS)

Senior Engineer, XBAT Simulation Modeling (R4546) (TX/SD/BOS)

Shield AI

San Diego, CA

Full-time

Posted 19 hours ago

Job description

JOB DESCRIPTION:
The Aircraft Simulation team turns frontier autonomy into mission-ready aircraft. We own the commit-to-flight pipeline—deterministic aircraft and mission simulation, HITL/SITL integration, CI/CD, and tooling for automated flight qualification testing. Our goal is simple: make AI fly—safely, reliably, and fast.
As a Senior Modeling & Simulation Engineer, you will be dedicated to Shield AI’s next-generation aircraft program, contributing to our modeling and simulation tooling pipeline. You’ll design, build, and scale novel aircraft subsystem models, develop infrastructure that enables automated testing for our XBAT product line, and perform verification and validation of simulation pipelines. You will also conduct system performance analysis to evaluate expected and actual flight and mission performance using simulation tools and publish results for consumption by customers.
What You'll Do
  • Develop models and infrastructure for the integrated simulation pipeline in C++
  • Design deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release. 
  • Implement test scenarios and write unit, system, and regression tests. 
  • Collaborate across autonomy, embedded, GNC, and test engineering to ensure the simulation mirrors real aircraft behavior and mission scenarios. 
  • Contribute to platform-agnostic simulation tooling to accelerate future development efforts 
  • Perform verification and validation (V&V) analysis activities on model tools. 
  • Conduct system performance analysis and generate reports and visualizations. 
  • Utilize best practices in C++, simulation architecture, and performance engineering.
Required Qualifications
  • BS or MS in Computer Science, Aerospace, Robotics, or related field. 
  • 5+ years of experience in software development, with emphasis on modern C++ (C++17 or later) and performance optimization. 
  • Strong understanding of rigid-body dynamics, kinematics, and basic flight and sensor mechanics. 
  • Proven experience developing or integrating simulation systems for robotics, aerospace, or autonomous systems. 
  • Ability to debug complex build and runtime environments (CMake, CPM, package management, logging, & profiling tools). 
  • Experience with software testing tools (GTest, etc.) 
  • Experience with model V&V. 
  • Strong collaboration and communication skills across software, hardware, and systems disciplines.
Preferred Qualifications
  • Grasp of real-time and deterministic software design, including multi-threading, synchronization, and memory management. 
  • Experience with DevOps-integrated simulation workflows, including CI/CD and automated hardware testing environments.
  • Working knowledge of Python for data analysis, test automation, or simulation orchestration. 
  • Familiarity with aircraft and flight physics modeling. 
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