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Remote Modeling Simulation Engineer Jobs in Severn, MD

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AI Foundry Engineer (US - Remote) Position summary We are seeking a highly skilled AI Foundry ... models, frameworks, and prompt engineering § Knowledge about emerging standards for AI agent ...

Engineer SME

Washington, DC · Remote

$150K - $180K/yr

... Modeling and Simulation, Prototyping and Fabrication Support, Quality Assurance, Red Teaming and Wargaming, Requirements Analysis, System Design, System Integration, System Safety Engineering, Test ...

Software Test Engineer

Lanham, MD · On-site +1

$156K - $195K/yr

If fully remote, would require up to 45% of travel. Responsibilities: * Design, document, and ... Ensure software compliance through hardware-in-the-loop (HITL) or simulation-in-the-loop (SITL ...

Remote Job Overview We are seeking experienced SolidWorks Specialists to contribute their expertise ... Develop and maintain clear engineering documentation to support design revisions and AI model ...

Showing results 41-60

Remote Modeling Simulation Engineer information

See Severn, MD salary details

$43.4K

$137.2K

$211.8K

How much do remote modeling simulation engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote modeling simulation engineer in Severn, MD is $137,181.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,300.00 and $162,900.00 per year, depending on experience, location, and employer.

What is a remote modeling simulation engineer?

Remote Modeling Simulation Engineers are professionals who use computer-based models and simulations to analyze, design, and optimize systems or products, often working from a location outside of a traditional office. They leverage specialized software to create virtual prototypes and run simulations, which helps in testing and improving designs without the need for physical experiments. These engineers collaborate with teams online, and their work is crucial in industries such as aerospace, automotive, energy, and manufacturing. Their remote setup allows companies to tap into a wider talent pool and offers professionals greater flexibility.

How does a remote modeling simulation engineer typically collaborate with cross-functional teams despite working remotely?

Remote Modeling Simulation Engineers frequently work with multidisciplinary teams, including software developers, project managers, and subject matter experts. Collaboration is typically facilitated through virtual meetings, shared simulation platforms, and cloud-based project management tools. Regular communication and thorough documentation are essential to ensure alignment on project goals and simulation requirements. While remote work offers flexibility, it also requires proactive engagement to stay connected and effectively contribute to team-driven problem solving.

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

To thrive as a Remote Modeling Simulation Engineer, you need a solid background in engineering or computer science, strong mathematical modeling skills, and experience with simulation methodologies. Familiarity with tools like MATLAB, Simulink, Python, and simulation software, along with relevant certifications such as Certified Systems Engineering Professional (CSEP), is often required. Exceptional problem-solving, self-motivation, and clear communication are crucial soft skills, especially when collaborating remotely with diverse teams. These skills ensure accurate model development, effective virtual teamwork, and the delivery of reliable simulation results for complex engineering challenges.

What is the difference between Remote Modeling Simulation Engineer vs Remote Data Analyst?

AspectRemote Modeling Simulation EngineerRemote Data Analyst
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; experience with simulation softwareBachelor's or higher in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentEngineering teams, simulation labs, software development settingsBusiness, finance, healthcare, or tech companies analyzing data sets
Industry UsageManufacturing, aerospace, automotive, defenseFinance, marketing, healthcare, technology
Common Search/ComparisonYesYes

The Remote Modeling Simulation Engineer focuses on creating and running simulations to predict system behaviors, often in engineering or manufacturing contexts. In contrast, the Remote Data Analyst interprets data to inform business decisions across various industries. While both roles require analytical skills and technical knowledge, their tools, applications, and industry focus differ significantly.

What job categories do people searching Remote Modeling Simulation Engineer jobs in Severn, MD look for?

The top searched job categories for Remote Modeling Simulation Engineer jobs in Severn, MD are:

What cities near Severn, MD are hiring for Remote Modeling Simulation Engineer jobs?

Cities near Severn, MD with the most Remote Modeling Simulation Engineer job openings:

AI Foundry Engineer (Remote)

Goldman Edwards, Inc.

Washington, DC • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago

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Job description

AI Foundry Engineer (US - Remote)


Position summary

We are seeking a highly skilled AI Foundry Engineer with a strong ability to translate complex business requirements into actionable prompts that effectively guide AI foundry platforms across ecosystems supporting mission-critical federal technology initiatives. Reporting to the Sr. Architect, the AI Foundry Engineer will ....


What will you do in this role?

§ Understand and translate business requirements and problem statements into a set of prompts that direct AI foundry platforms and ecosystems to generate full stack, AI and agent-based systems

§ Assess the generated systems code to discover design gaps and inefficiencies, standard and coding style issues. Identify and implement fixes in the design and code as necessary

§ Test, verify, and deploy the end-to-end system / application


What do you need to succeed in this role?

§ 20+ years of overall software, distributed systems, and cloud native system development experience

§ Coding standards (Google JavaScript / JSON style guide, PEP 8 style guide)

§ Design patterns (GOF, Others)

§ Architecture frameworks

§ 2-3+ years of developing and integrating AI, Gen AI, and agentic AI algorithms, models, frameworks, and prompt engineering

§ Knowledge about emerging standards for AI agent ecosystem

§ SME / Power user for at least one Gen AI system (Gemini, ChatGPT, Claude, CoPilot)

§ Prompt engineering - translating business / user requirements into prompts

§ 5-7+ years of in-depth, hands-on experience with one or more web application frameworks and programming languages

§ Angular, React, Python, NodeJS, Rust

§ Minimum of 5 years in-depth, hands-on experience with one or more cloud tech stacks, including virtual network architecture, design, implementation and management

§ AWS / Google (preferred)

§ AZURE / Oracle

§ Minimum of one-year in-depth, hands-on experience with one or more QA frameworks and test automation platforms

§ Experience in testing AI and LLM’s using tools to evaluate accuracy, bias, and reliability of AI tools and systems

§ Hands-on experience in using tools such as Brainstrust and Galileo


In addition, specific skills/experience required are as follows:

§ Values driven – You embody and model absolute integrity and servant leadership and you have a bias for action and continuous innovation.

§ Uncompromising problem solver – You see opportunities in every business challenge and can develop, articulate and implement solutions.

§ Collaboration – You are a relationship builder across all levels of the organization and across all business units.


Company Description

Goldman Edwards is a leader in the application of systems engineering across a wide array of large-scale system development and mission critical programs used by government and industry. We provide world-class talent, proven management, and technical processes to manage the most complex projects—from concept through deployment.