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Flight Simulator Engineer Jobs in Texas (NOW HIRING)

... flight test efforts including Hardware-In-The-Loop (HWIL) activities Support program reviews and ... simulations. The M&S Engineer must be proficient in C++ and MATLAB. The candidate must have good ...

SkyGrid, a Wisk Company, exists to open the sky for autonomous flight. Based in Austin, Texas ... SkyGrid is looking for a highly motivated and organized Simulation Engineer III to develop ...

SkyGrid, a Wisk Company, exists to open the sky for autonomous flight. Based in Austin, Texas ... SkyGrid is looking for a highly motivated and organized Simulation Engineer III to develop ...

$98K - $135K/yr

The candidate will be responsible for pre-flight performance prediction simulation runs as well as ... The candidate GNC Engineer should have experience with basic flight mechanics and equations of ...

Showing results 21-40

Flight Simulator Engineer information

See Texas salary details

$43.3K

$110.4K

$242.7K

How much do flight simulator engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for flight simulator engineer in Texas is $110,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $107,100.00 per year, depending on experience, location, and employer.

How much does a flight simulator engineer make?

The average salary for a flight simulator engineer ranges from $70,000 to $120,000 annually, depending on experience, location, and employer. Senior engineers with specialized skills in simulation software and hardware can earn higher compensation, often supplemented by benefits and overtime pay.

What does a flight simulator engineer do?

A typical day for a Flight Simulator Engineer involves developing, testing, and maintaining advanced simulation software and hardware to ensure realistic and reliable flight training experiences. You’ll often collaborate with other engineers, pilots, and instructors to address technical issues, implement software updates, and fine-tune system performance. Routine tasks may include troubleshooting simulator malfunctions, integrating new aircraft models, and documenting system changes for compliance and future reference. The work environment is dynamic and multidisciplinary, offering the chance to use both technical expertise and teamwork to support critical training operations.

What are the key skills and qualifications needed to thrive as a flight simulator engineer?

To thrive as a Flight Simulator Engineer, you need a strong background in computer engineering, software development, systems integration, and a relevant degree in engineering or computer science. Familiarity with simulation platforms (such as X-Plane, FlightGear, or CAE platforms), programming languages (like C++ or Python), and knowledge of avionics systems are highly valuable, along with certifications such as CompTIA or manufacturer-specific quals. Strong troubleshooting abilities, attention to detail, and effective communication are critical soft skills for collaborating with pilots, engineers, and training staff. These skills and qualities are essential for ensuring simulators accurately replicate flight conditions, support pilot training, and meet strict safety and regulatory standards.

What is a flight simulator engineer?

A Flight Simulator Engineer is responsible for developing, maintaining, and troubleshooting flight simulation systems used for pilot training and aircraft testing. They work with hardware and software to ensure the simulator accurately replicates real-world flight conditions. Their role involves programming, integrating avionics systems, and performing regular maintenance to ensure reliability. These engineers collaborate with pilots, instructors, and aeronautical engineers to enhance training effectiveness.

Are flight simulator engineers in demand?

Flight simulator engineers are in demand due to the ongoing need for realistic pilot training and simulation technology in the aviation industry. They typically require skills in software development, systems integration, and familiarity with simulation tools, with employment opportunities often available in aerospace and defense sectors.

How to become a flight simulator engineer?

To become a flight simulator engineer, typically a bachelor's degree in aerospace engineering, computer science, or a related field is required. Relevant skills include programming, systems integration, and knowledge of flight dynamics, with experience in simulation software and hardware being advantageous. Certifications in aviation or engineering can also enhance job prospects.
What are the most commonly searched types of Flight Simulator Engineer jobs in Texas? The most popular types of Flight Simulator Engineer jobs in Texas are:
What are popular job titles related to Flight Simulator Engineer jobs in Texas? For Flight Simulator Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Flight Simulator Engineer jobs in Texas look for? The top searched job categories for Flight Simulator Engineer jobs in Texas are:
What cities in Texas are hiring for Flight Simulator Engineer jobs? Cities in Texas with the most Flight Simulator Engineer job openings:
Infographic showing various Flight Simulator Engineer job openings in Texas as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $110,413 per year, or $53.1 per hour.

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

Shield AI

Dallas, TX • On-site

$105K - $155K/yr

Full-time

Re-posted 29 days ago


Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

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.
  • Ability to obtain a S//SAR level security clearance desired.
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. 
$105,000 - $155,000 a year
#LI-SM1

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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