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Computer Vision Modeling Simulation Gaming Jobs

Booz Allen Hamilton

Computer Vision AI Engineer

Chantilly, VA · On-site

$115K - $135K/yr

Responsibilities : • Develop and implement deep learning computer vision models, with a focus on sensor fusion and target tracking. • Collaborate with multidisciplinary teams to design, develop ...

Revelyst

Computer Vision Engineer

San Diego, CA · On-site

$112K - $130K/yr

Collaborate with hardware, firmware, and simulation teams to integrate vision pipelines with ... Apply image calibration, stereo vision, and sensor fusion techniques for accurate spatial modeling.

Booz Allen Hamilton

Computer Vision AI Engineer

$114K - $134K/yr

Responsibilities : • Develop and implement deep learning computer vision models, with a focus on sensor fusion and target tracking. • Collaborate with multidisciplinary teams to design, develop ...

Revelyst

Computer Vision Engineer

San Diego, CA · On-site

$112K - $130K/yr

Collaborate with hardware, firmware, and simulation teams to integrate vision pipelines with ... Apply image calibration, stereo vision, and sensor fusion techniques for accurate spatial modeling.

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Computer Vision Modeling Simulation Gaming information

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$39K

$101.3K

$144K

How much do computer vision modeling simulation gaming jobs pay per year?

As of Jun 7, 2026, the average yearly pay for computer vision modeling simulation gaming in the United States is $101,255.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What is the difference between Computer Vision Modeling Simulation Gaming vs 3D Game Artist?

AspectComputer Vision Modeling Simulation Gaming3D Game Artist
Required SkillsComputer vision, programming, AI, 3D modeling3D modeling, texturing, animation, artistic design
Work EnvironmentResearch labs, tech companies, simulation studiosGame development studios, entertainment industry
Industry UsageAI development, simulation training, roboticsVideo game creation, visual storytelling

While both roles involve 3D modeling, Computer Vision Modeling Simulation Gaming focuses on AI, computer vision, and simulation technologies, often in research or tech environments. In contrast, 3D Game Artists primarily create visual assets for video games, emphasizing artistic skills and creativity. Understanding these differences helps clarify career paths and employer expectations in the gaming and simulation industries.

What is Computer Vision Modeling Simulation Gaming?

Computer Vision Modeling Simulation Gaming is a specialized field that combines computer vision, which enables computers to interpret and understand visual information, with modeling and simulation techniques to create interactive gaming environments. Professionals in this area develop algorithms that allow games to detect, analyze, and respond to players' real-world movements, gestures, and environments. This technology is widely used in augmented reality (AR), virtual reality (VR), and motion-controlled games to enhance user immersion and gameplay. It requires expertise in image processing, machine learning, 3D modeling, and real-time simulation. The goal is to create more realistic and responsive gaming experiences by bridging the digital and physical worlds.

What are the key skills and qualifications needed to thrive in Computer Vision Modeling Simulation Gaming, and why are they important?

To excel in Computer Vision Modeling Simulation Gaming, you need expertise in computer vision algorithms, 3D modeling, and programming languages such as Python or C++, typically supported by a degree in computer science, engineering, or a related field. Familiarity with tools like OpenCV, Unity or Unreal Engine, and knowledge of machine learning frameworks are commonly required. Strong problem-solving skills, creativity, and effective teamwork set outstanding professionals apart in this multidisciplinary area. These competencies are crucial for developing realistic, immersive simulations and solving complex visual computing challenges within gaming environments.

What are typical challenges faced when developing computer vision models for simulation gaming environments?

Developing computer vision models for simulation gaming often involves handling large and complex datasets, ensuring real-time performance, and integrating seamlessly with game engines. One common challenge is optimizing models to run efficiently on various hardware without sacrificing accuracy or realism. Additionally, collaboration with designers and gameplay developers is essential to ensure that visual outputs align with creative and functional requirements. Keeping up with rapidly evolving technologies and algorithms in both computer vision and gaming adds another layer of complexity.
Modeling and Simulation AFSIM Specialist

Modeling and Simulation AFSIM Specialist

ManTech International

Arlington, VA • On-site

Full-time

Posted 15 days ago

ManTech rating

8.8

Company rating: 8.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

31st of 186 rated software companies

Job description

General information
Requisition #
R67264
Locations
USA-VA-Arlington
Posting Date
04/22/2026
Security Clearance Required
Secret
Remote Type
Onsite
Time Type
Full time
Description & Requirements
Shape the future of defense with MANTECH! Join a team dedicated to safeguarding our nation through advanced tech and innovative solutions. Since 1968, we've been a trusted partner to the Department of Defense, delivering cutting-edge projects that make a real impact. Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career forward and be part of something extraordinary. Your journey starts now-protect and innovate with MANTECH!
MANTECH seeks a motivated, career and customer-oriented Modeling & Simulation Advanced Framework for Simulation, Integration, and Modeling (AFSIM) Specialist to join our team in Arlington, VA.
This is a full-time, onsite position at Secretary of the Air Force, Studies and Analysis (SAF/SA) at the Pentagon. The qualified candidate augments and assists the military and civilian staff in performing Modeling & Simulation and Analysis functions using AFSIM to support senior Air Force decision makers.
Responsibilities include but are not limited to:
  • Conduct and participate in short notice as well as long-term analytical studies and assessments using a variety of tools and techniques to include qualitative, spreadsheet, and computer simulation-based analyses.
  • Leading and assisting in the development of analysis plans for trade-off studies of Air Force combat aircraft and weapon requirements, modernization, and new acquisitions. Typical studies include weapon capability analyses, aircraft survivability analyses, current and future combat aircraft inventory requirement analyses, and weapon acquisition analyses.
  • Using available data, subject matter expert knowledge, and best judgement, create and maintain input data for Advanced Framework for Simulation, Integration, and Modeling (AFSIM) and work with other computer simulations.
  • Run AFSIM and analyze output data. Verify and validate the results. Adjust simulation inputs as required to align output with actual and/or expected results in a real-world environment.
  • Present analysis of simulation output to include insights, conclusions, and recommendations in written documents and verbal briefings for review by Air Force decision makers.
  • Attend and participate in meetings both locally and at other locations as a subject matter expert on AFSIM, air combat analysis, and SAF/SA analytic capability.
  • Complete computer-based and in person training as required by the government and company policy.

Minimum Qualifications:
  • 4+ years of Modeling, Simulation and Analysis experience.
  • Experience using and developing models within AFSIM to conduct mission analyses.
  • Experience creating, maintaining, and modifying AFSIM code and run sets to address specific analysis questions.
  • Experience using Microsoft Office products (Excel, PowerPoint)

Preferred Qualifications:
  • Bachelor's Degree
  • Experience in modeling & simulation of modern combat aircraft, other airborne systems, and weapons employment in engagement, mission, and campaign level simulations.
  • Experience developing study plans that include background, purpose of study, scope/limitations, critical assumptions and constraints, measures of effectiveness, study parameters and variables, methodology description, data requirements and schedule.
  • Experience collecting and establishing the pedigree of input data, conducting risk analysis; model manipulation and modification.
  • Experience in programming in C/C++, Fortran, R, Python, MATLAB, and SQL.
  • Experience using Microsoft Office products.

Citizenship and Clearance Requirements:
  • Must be a US Citizen with a current and active Secret security clearance with the ability to obtain and maintain a Top-Secret/SCI clearance.

Physical Requirements:
  • Must be able to remain in a stationary position 50%.
  • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine and computer printer.
  • The person in this position frequently communicates with co-workers, management, and customers.

MANTECH considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with MANTECH, please email us at careers@mantech.com and provide your name and contact information.

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