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Remote Modeling Simulation Engineer Jobs in Waldorf, MD

Whitespace

Software Engineer

Alexandria, VA · On-site +1

Remote / Alexandria, VA Clearance: Active TS/SCI or eligibility to be cleared GeoDelphi, Inc. dba ... Experience with population simulation, activity-based intelligence, or modeling and simulation.

Whitespace

Software Engineer

Alexandria, VA · Remote

Remote / Alexandria, VA Clearance: Active TS/SCI or eligibility to be cleared GeoDelphi, Inc. dba ... Experience with population simulation, activity-based intelligence, or modeling and simulation.

Knexus

AI Software Engineer (Remote)

Vienna, VA · Remote

... learning models.Modular Systems Development: Develop modular systems within a distributed ... Experience with discrete event simulation, geospatial and/or temporal databases, and performing ...

Booz Allen Hamilton, Inc.

Platform Engineer

Mclean, VA · On-site +1

$77K - $176K/yr

... and modeling and simulation platform. You'll support containerized platforms and deployment ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

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All JobsModeling Simulation Engineer JobsRemote Modeling Simulation Engineer JobsRemote Modeling Simulation Engineer Jobs in Waldorf, MD

Remote Modeling Simulation Engineer information

See Waldorf, MD salary details

$37.6K

$119.1K

$183.9K

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

As of Aug 12, 2026, the average yearly pay for remote modeling simulation engineer in Waldorf, MD is $119,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $141,400.00 per year, depending on experience, location, and employer.

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.

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 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.

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 are popular job titles related to Remote Modeling Simulation Engineer jobs in Waldorf, MD? For Remote Modeling Simulation Engineer jobs in Waldorf, MD, the most frequently searched job titles are:
What job categories do people searching Remote Modeling Simulation Engineer jobs in Waldorf, MD look for? The top searched job categories for Remote Modeling Simulation Engineer jobs in Waldorf, MD are:
What cities near Waldorf, MD are hiring for Remote Modeling Simulation Engineer jobs? Cities near Waldorf, MD with the most Remote Modeling Simulation Engineer job openings:
Remote Modeling Simulation Engineer jobs near you
Infographic showing various Remote Modeling Simulation Engineer job openings in Waldorf, MD as of August 2026, with employment types broken down into 69% Full Time, 21% Part Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $119,119 per year, or $57.3 per hour.

Software Engineer

Whitespace

Alexandria, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago

Job description

Software Engineer
Location: Remote / Alexandria, VA
Clearance: Active TS/SCI or eligibility to be cleared
GeoDelphi, Inc. dba Whitespace is building Iris, a trust-first Agentic AI platform for global leaders. Recognized as one of the most innovative companies in the geospatial industry, Whitespace accelerates speed-to-answer through powerful analytics, high-cadence data feeds, geospatial intelligence, and expert-machine teaming. Our mission is to transform commercial data into actionable intelligence that keeps pace with world events and delivers decision advantage to our customers.
Position Overview
Whitespace is seeking a highly motivated Software Engineer, with geospatial analysis experience, to join our engineering and analytics team. This role combines software engineering, geospatial data science, and advanced analytics to support mission-critical programs including Tactical Surveillance, Reconnaissance, and Tracking (TacSRT).
The ideal candidate is a full-stack problem solver who can design scalable software systems, build data pipelines, perform geospatial analysis, and develop analytic capabilities that transform large volumes of commercial and geospatial data into actionable intelligence.
You will work closely with software engineers, data scientists, analysts, and customer stakeholders to develop innovative solutions that support national security, operational planning, and strategic decision-making. This position will report to the VP of Engineering.
This position is 100% remote! It also requires 15% travel to the corporate and customer locations. In addition, there may be occasional weekend work required. The candidate MUST be a US citizen and reside in the contiguous United States. The candidate must be a W2 employee of GeoDelphi, Inc. No 3rd party applications.
Requirements
RESPONSIBILITIES
Software Engineering
  • Design, develop, test, deploy, and maintain scalable software solutions supporting the Whitespace Answers Platform and Iris AI ecosystem.
  • Build backend services, APIs, data pipelines, and analytic applications using modern software engineering practices.
  • Write clean, efficient, maintainable, and testable code primarily using Python and Java.
  • Collaborate across Agile teams to develop technical solutions for complex geospatial and data-centric challenges.
  • Participate in software releases, code reviews, CI/CD pipelines, and DevOps processes.
  • Improve existing applications through performance optimization, automation, and architecture enhancements.
  • Provide technical consultation and troubleshooting support for software and infrastructure issues.

Geospatial Data Science & Analytics
  • Collect, integrate, clean, and analyze large-scale geospatial and non-geospatial datasets.
  • Develop and implement statistical models, machine learning workflows, and geospatial analytics solutions.
  • Design and maintain scalable data processing pipelines for structured and unstructured data.
  • Identify trends, anomalies, patterns, and insights within commercial and geospatial datasets.
  • Develop interactive visualizations and mission-focused analytic products for customer stakeholders.
  • Conduct cloud-based data research and large-scale data processing.
  • Collaborate with engineering, R&D, and mission teams to develop new analytic capabilities and data products.
  • Support intelligence, targeting, collection management, geospatial analysis, and activity-based intelligence initiatives.

EXPERIENCE
  • Must have a minimum of 7 years of experience in a software engineering role
  • Experience in designing, building, scaling, and maintaining production software
  • Strong coding abilities emphasizing quality and testability in your work.
  • Utilize programming languages such as Java, Python, and Go
  • Strong understanding of DevOps and software/application development processes
  • Demonstrated experience with continuous integration and software CM processes/tools (GitLab, JIRA, Confluence, Kubernetes, or other DevOps/Continuous Integration tools)
  • Experience with SQL and NoSQL databases and query optimization
  • Experience acquiring client requirements and resolving workflow problems through automation optimization

DESIRED SKILLS
  • Experience with AWS, Azure, or Google Cloud.
  • Experience building geospatial web applications and APIs.
  • Experience with machine learning and predictive analytics.
  • Experience using geospatial Python libraries such as: GeoPandas
  • Experience with Geographic Information Systems (GIS), including ArcGIS Pro, ArcGIS Enterprise, or QGIS.
  • Experience with satellite imagery, remote sensing, GEOINT, or commercial geospatial data.
  • Experience with population simulation, activity-based intelligence, or modeling and simulation.
  • Experience with Spark, Hadoop, Athena, EMR, BigQuery, or other large-scale data processing platforms.
  • Experience with data visualization tools such as Tableau, Power BI, Kepler.gl, Deck.gl, or custom Python visualizations.
  • Knowledge of intelligence analysis, collection management, targeting, or military operations.
  • GEOINT Professional Certification (GPC) or related certifications.

Benefits
GEODELPHI BENEFITS
  • Medical, Dental, and Vision plans
  • Unlimited PTO
  • Federal Holiday Paid Leave
  • 12 weeks of paid Parental Leave
  • Employer paid STD/LTD
  • Employer Paid Life Insurance
  • 401K plan and Employer Match
  • Professional Development Assistance
  • Equity Incentive Plan

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