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Virtual Reality Engineer Jobs in Virginia (NOW HIRING)

Improbable LLC

Model Engineer

Arlington, VA · On-site +1

To enable the most realistic and effective virtual worlds ever experienced. Our team in Arlington ... We are a diverse team of engineers and applied scientists working very collaboratively, internally ...

Improbable LLC

Model Engineer

Arlington, VA · On-site +1

To enable the most realistic and effective virtual worlds ever experienced. Our team in Arlington ... We are a diverse team of engineers and applied scientists working very collaboratively, internally ...

Meta

Energy Manager, Power Delivery

Reston, VA

$170K/yr

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ... and virtual reality to help build the next evolution in social technology. People who choose to ...

Micron

Fab Support Equipment Technician

Manassas, VA

Join our diverse team driving innovation for customers through solutions enabling virtual reality ... In collaboration with equipment engineers and tool vendors, you will contribute to the seamless ...

Meta

Energy Sourcing Manager

Reston, VA · On-site +1

$132K/yr

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ... and virtual reality to help build the next evolution in social technology. People who choose to ...

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Virtual Reality Engineer information

See Virginia salary details

$19K

$92.6K

$195.5K

How much do virtual reality engineer jobs pay per year?

As of Jun 23, 2026, the average yearly pay for virtual reality engineer in Virginia is $92,634.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,489.00 and $116,703.00 per year, depending on experience, location, and employer.

What are some common challenges Virtual Reality Engineers face when developing immersive experiences?

Virtual Reality Engineers often encounter challenges related to optimizing performance for real-time rendering, ensuring user comfort to prevent motion sickness, and creating intuitive interactions within the virtual environment. Balancing visual fidelity with hardware limitations and maintaining low latency for a seamless experience can be demanding. Collaboration with designers, artists, and UX specialists is crucial to address these issues and achieve engaging, user-friendly VR applications.

What are Virtual Reality Engineers?

Virtual Reality Engineers are professionals who design, develop, and implement immersive virtual reality (VR) experiences and applications. They use a combination of software development, 3D modeling, and hardware integration to create interactive environments that can be used in gaming, education, training, healthcare, and other industries. VR engineers work with tools like Unity or Unreal Engine, and often collaborate with designers, artists, and hardware specialists to deliver realistic and engaging virtual experiences.

What are the key skills and qualifications needed to thrive as a Virtual Reality Engineer, and why are they important?

To thrive as a Virtual Reality Engineer, you need strong programming skills (such as C#, C++, or Unity), a solid understanding of 3D graphics, and a degree in computer science or a related field. Familiarity with VR development platforms like Unity or Unreal Engine, as well as experience with VR hardware SDKs (e.g., Oculus, HTC Vive), are typically required. Creativity, problem-solving, and effective teamwork are standout soft skills in this role. These competencies are crucial to developing immersive and technically sound VR experiences that meet user needs and push technological boundaries.
What are popular job titles related to Virtual Reality Engineer jobs in Virginia? For Virtual Reality Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Virtual Reality Engineer jobs in Virginia look for? The top searched job categories for Virtual Reality Engineer jobs in Virginia are:
Virtual Reality Engineer jobs near you

Model Engineer

Improbable LLC

Arlington, VA • On-site, Remote

Full-time

Posted 14 days ago

Job description

Join Improbable U.S. Defense & National Security and you will help users leverage our synthetic environment development platform to plan and train for the most complex security threats in the world. Working along experts in AI, Machine Learning, computational modeling, and distributed systems, you will put multiplayer gaming technology to life-saving use.  
  
Our mission? To enable the most realistic and effective virtual worlds ever experienced. Our team in Arlington, VA, and across several other locations in the US, is focused on applying our technology to solve real-world Defense and National Security problems.  
  
At Improbable, you will be surrounded by people who want to improve everything and everyone around them, and who compel you to improve yourself. We're motivated by the fulfillment of solving hard problems to achieve something profound and transformative. 
 

Your mission is to build robust, performant, scalable scientific models that support our entire product offering and facilitate next generation decision support. We are a diverse team of engineers and applied scientists working very collaboratively, internally and with our customers.  We are friendly and inclusive; driven to take synthetic environments to the next level. 

We focus on modularity and reusability to create complex systems from combinations of simpler systems, such as modeling social systems as goal oriented actors in a synthetic environment with imperfect information. Our model engineers take cutting-edge domain specific research and combine it with best practices, pragmatism, and creativity to run our complex realistic simulations as fast as possible; solving our customers' problems and supporting their decision-making processes. 
Areas for Impact
  • Contributing improvements to practices and processes of a high performing team. 
  • Maturing prototype models so that they are scalable, robust and performant. 
  • Developing and implementing algorithms which result in plausible modeled behavior.
  • Building pipelines to extract, synthesize and integrate data from various sources, making it available to simulation engines and user interfaces. 
  • Building tooling that enables model developers to do their work quicker and better. 
  • Measuring, tracking, and improving performance of models so that we can reach new levels of speed and scale. 
  • Taking ownership of verifying the reliability of the models that we create. 
  • Working closely with our customers to understand their problems and develop use cases for Improbable technology. 
We would like to hear from you if you identify with the following
  • You have 3+ years professional experience (or an advanced degree) in model and simulation development. 
  • Proficient coding ability - with fluency in at least one relevant programming language and the openness to learn and adapt to a variety of languages. We use Python, Java, C++, C#, and many related tools and libraries. 
  • You are familiar with the more advanced features of software design (e.g. decorators, generators, objects/classes, system and API design) and data science/simulation techniques and libraries (e.g. agent based modeling, algorithm complexity, data frames, graph theory, machine learning).
  • You are proactive and autonomous, able to identify the most impactful work among competing requirements. 
  • You have a strong sense of intellectual curiosity; ready to hone your craft and inspire others to be better engineers. 
  • You enjoy pair programming, collaboration, and are passionate about sharing knowledge with and learning from others. 
  • You are naturally pragmatic, balancing fast-moving project requirements with quality and good practices. 
While we think the above experience could be important, we're keen to hear from people that believe they have valuable experience to bring to the role. If you identify with the team and mission, but not all of our requirements, then please still apply!
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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