Remote Simulation Engineer Jobs in Richmond, VA (NOW HIRING)

As of Aug 12, 2026, the average yearly pay for remote simulation engineer in Richmond, VA is $122,120.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $145,000.00 per year, depending on experience, location, and employer.

To thrive as a Remote Simulation Engineer, you need a solid background in engineering principles, computational modeling, and a relevant degree in fields like mechanical, electrical, or aerospace engineering. Proficiency with simulation software such as ANSYS, MATLAB, or Simulink, alongside experience with CAD tools, is typically required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in a distributed work environment. These skills are crucial for delivering accurate, timely simulation results and collaborating efficiently with global teams.

Remote Simulation Engineers are professionals who use computer-based models and simulations to replicate real-world systems, processes, or products, often working from remote locations. They design, develop, and analyze simulations to test and optimize designs in fields such as aerospace, automotive, healthcare, and manufacturing. By leveraging specialized software, they help organizations predict outcomes, reduce costs, and improve efficiency without the need for physical prototypes. Remote Simulation Engineers collaborate with multidisciplinary teams using digital tools, ensuring seamless communication and project delivery. Their role is crucial for organizations aiming to innovate and streamline development in a virtual environment.

As a Remote Simulation Engineer, you will frequently collaborate with on-site teams, project managers, and other engineers through virtual meetings, cloud-based platforms, and shared simulation tools. Clear communication and proactive coordination are essential, as you may be responsible for explaining simulation results, integrating feedback, and ensuring your models align with real-world requirements. Building strong relationships with cross-functional teams helps bridge the distance and ensures project milestones are met efficiently. Familiarity with collaborative software and version control systems is valuable for seamless teamwork.