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Computational Modeling Simulation Multiphysics Jobs in Annandale, VA

Demonstrated experience with agent-based modeling, micro-simulation, computational social science, or modeling socio-technical systems. * Experience using game engines such as Unity and Unreal.

Demonstrated experience with agent-based modeling, micro-simulation, computational social science, or modeling socio-technical systems. * Experience using game engines such as Unity and Unreal.

Demonstrated experience with agent-based modeling, micro-simulation, computational social science, or modeling socio-technical systems. * Experience using game engines such as Unity and Unreal.

Demonstrated experience with agent-based modeling, micro-simulation, computational social science, or modeling socio-technical systems. * Experience using game engines such as Unity and Unreal.

Demonstrated experience with agent-based modeling, micro-simulation, computational social science, or modeling socio-technical systems. * Experience using game engines such as Unity and Unreal.

Senior Nuclear Engineer

Reston, VA · On-site

$131.30 - $237.35/hr

Threat Modeling & Simulation * Utilize advanced multiphysics modeling and simulation tools to ... Perform computational analyses to assess system performance, resilience, and survivability.

Showing results 21-40

Computational Modeling Simulation Multiphysics information

See Annandale, VA salary details

$38.8K

$100.7K

$143.2K

How much do computational modeling simulation multiphysics jobs pay per year?

As of Aug 22, 2026, the average yearly pay for computational modeling simulation multiphysics in Annandale, VA is $100,713.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,100.00 and $128,800.00 per year, depending on experience, location, and employer.

What is computational modeling simulation multiphysics?

Computational modeling simulation multiphysics refers to the use of computer-based models to simulate and analyze systems that involve multiple interacting physical phenomena—such as fluid dynamics, heat transfer, electromagnetics, and structural mechanics—all at once. This approach allows researchers and engineers to predict complex real-world behavior, optimize designs, and reduce the need for expensive prototypes. Multiphysics simulations are widely used in industries like aerospace, automotive, energy, and biomedical engineering, where accurate modeling of coupled physical processes is critical.

What are common challenges faced by professionals in computational modeling simulation multiphysics, and how can they be addressed?

One of the main challenges in Computational Modeling Simulation Multiphysics roles is managing the complexity of integrating multiple physical phenomena, such as thermal, structural, and fluid dynamics, into a single simulation. This often requires a deep understanding of both the underlying physics and the numerical methods used by simulation software. Collaborating closely with domain experts and maintaining clear communication within multidisciplinary teams can help address these challenges. Additionally, staying updated with advances in simulation tools and best practices through continuous learning is key to overcoming technical hurdles and ensuring accurate results.

What are the key skills and qualifications needed to thrive as a computational modeling simulation multiphysics engineer, and why are they important?

A strong background in physics, engineering, mathematics, and computational science—typically with an advanced degree—is essential for a Computational Modeling Simulation Multiphysics Engineer. Proficiency in simulation software such as ANSYS, COMSOL Multiphysics, MATLAB, and programming languages like Python or C++ is commonly required, along with familiarity with high-performance computing environments. Analytical thinking, problem-solving skills, and effective communication set standout professionals apart in this field. These capabilities enable accurate modeling of complex physical phenomena, efficient collaboration, and successful project outcomes in research and industry settings.

What is the difference between Computational Modeling Simulation Multiphysics vs Computational Engineer?

AspectComputational Modeling Simulation MultiphysicsComputational Engineer
CredentialsTypically requires degrees in engineering, physics, or related fields; certifications in simulation software are commonSimilar educational background; often holds engineering degrees and software certifications
Work EnvironmentPrimarily in R&D labs, engineering firms, or manufacturing settings focusing on complex simulationsInvolved in product development, software development, or systems design in various industries
Industry UsageUsed in aerospace, automotive, energy, and manufacturing for advanced simulationsApplied across industries for designing, analyzing, and optimizing systems and products

While both roles involve computational skills and engineering principles, Computational Modeling Simulation Multiphysics specializes in complex, multi-physics simulations, whereas Computational Engineer focuses on designing and implementing computational solutions across various engineering projects.

What cities near Annandale, VA are hiring for Computational Modeling Simulation Multiphysics jobs?

Cities near Annandale, VA with the most Computational Modeling Simulation Multiphysics job openings:

Senior Software Engineer, World Modeling & Simulation

Applied Intuition

Washington, DC • On-site

$150 - $200/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Job description

About Applied Intuition

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co.

We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.

About the role

We're seeking a Senior Software Engineer to architect the world representation layer at the heart of Applied Intuition's Acuity autonomy stack. If you've spent your career building the spatial worlds that games, simulations, or autonomous systems inhabit, defining how environments are structured, queried, and updated at high frequency this role was written for you.

This is a senior, deeply technical position sitting at the intersection of computational geometry, real-time world modeling, and large-scale simulation. You'll own the foundational scene and mapping systems that downstream sensor fusion and path planning both depend on: defining 4D spatial abstractions, Entity Component Systems, and the high-performance data structures that make multi-agent reasoning across air, ground, and maritime domains possible.

The ideal candidate has built world representations from the ground up, whether in a game engine, a robotics simulator, or an autonomous vehicle stack and knows what it takes to make those representations fast, accurate, and scalable under real operational constraints.

At Applied Intuition, you will:
  • Architect World & Scene Representation Systems: Design and implement core spatial data structures, including Entity Component System frameworks, spatial indexing, occupancy representations, and 4D object management for large-scale multi-agent environments.

  • Own Mapping & Geometry Pipelines: Build and optimize the computational geometry and world-state systems that sit between raw sensor data and the path planning stack — including coordinate frame management, spatial queries, and environment abstraction layers.

  • Drive Performance to the Metal: Write highly optimized C++ (C++20) with a focus on low-latency, cache-efficient, and memory-conscious design. You should be comfortable profiling hot paths, eliminating allocations, and squeezing real-time performance out of complex spatial systems.

  • Lead Technical Strategy & Integration: Drive architectural decisions and design clean APIs that enable cross-domain integration across air, ground, and maritime autonomy stacks.

  • Collaborate & Mentor: Act as a technical anchor across teams — engaging proactively with sensor, planning, and simulation engineers to ensure the scene layer meets the needs of the full autonomy stack.

We're looking for someone, who has:
  • 7+ years of professional software engineering experience, with deep expertise in spatial systems, world modeling, or simulation environments

  • Expert-level C++ skills (C++20 or later), including template metaprogramming, move semantics, SIMD, and performance optimization at the systems level

  • Hands‑on experience building world or scene representations — from a game engine, sim platform, or autonomous system — including managing dynamic object state, spatial indexing, and real-time updates

  • Strong background in computational geometry: coordinate transformations, spatial data structures (BVH, octrees, k‑d trees), geometric algorithms, and collision/proximity systems

  • Deep intuition for low-latency, high-throughput software design in real-time environments

  • Strong proficiency in Python and shell scripting for tooling and automation

  • Experience with agentic coding tools (Cursor, Claude Code, GitHub Copilot) and AI-assisted development workflows

Travel Requirements:

  • Must be willing to travel as projects requires; average travel varies, but can be up to once a month for up to 1 week (~20%)

Security Requirements:

  • Must be a U.S. Citizen

  • Must hold or be eligible to obtain and maintain a U.S. security clearance

For more information about U.S. security clearances: click here.

Nice to have:
  • Expertise with the Linux/Docker/C++ toolchains (including build systems like Nix and Bazel) and cross-compilation.

  • Experience with temporal reasoning systems and 4D scene representation (space + time)

  • Background in game development, simulation, or virtual environments

  • Knowledge of physics engines and collision detection systems

  • Understanding of autonomous systems or robotics software architectures

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $150,000 - 200,000 USD annually.

Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.

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