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Process Modeling Engineer Jobs in Leesburg, VA (NOW HIRING)

Strong understanding of business process modeling and improvement methodologies, aligned with BA ... Today, Xerox scientists and engineers are continuing our legacy of innovation with disruptive ...

Role: Front-End Engineer Location: Onsite- Fairfax, VA 3 Days and in Washington, DC 2 Days per Week ... Proficiency in requirements documentation, process modeling, and tools like Jira, Confluence, Figma.

The focus of this engineering role is on thermal-hydraulic and process systems engineering for High-Temperature Gas-cooled Reactors (HTGRs). Responsibilities include the modeling, analysis, and ...

The focus of this engineering role is on thermal-hydraulic and process systems engineering for High-Temperature Gas-cooled Reactors (HTGRs). Responsibilities include the modeling, analysis, and ...

We are seeking a strong Software Engineer to join our software development team. You will be ... Familiarity with Business Process Modeling tools such as Camunda, Flowable, or n8n.io * Strong ...

We are seeking a strong Software Engineer to join our software development team. You will be ... Familiarity with Business Process Modeling tools such as Camunda, Flowable, or n8n.io * Strong ...

Model Process Manager

Mclean, VA · On-site

$81K - $95K/yr

The Model Process Manager owns that process: mapping it, creating consistency across verticals, and ... You've worked across compliance, risk, engineering, and operations and know how to get people from ...

New

AI Model Engineer

Ashburn, VA · On-site

$125K - $150K/yr

... processes while ensuring performance, observability, and security. This role contributes to ... and prompt engineering * Experience in large language model (LLM) applications * Strong ...

Main responsibilities will be reverse engineering existing system requirements, facilitating ... Experience with business process modeling and Business Process Modeling Notation. Additional ...

Showing results 21-40

Process Modeling Engineer information

See Leesburg, VA salary details

$50.1K

$93.1K

$144.1K

How much do process modeling engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for process modeling engineer in Leesburg, VA is $93,073.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,400.00 and $104,200.00 per year, depending on experience, location, and employer.

What does a process modeling engineer do?

A Process Modeling Engineer is responsible for designing, analyzing, and optimizing processes within industries such as manufacturing, chemical production, or energy. They use mathematical models and simulation software to predict how processes will perform under various conditions. By creating digital models, they help improve efficiency, reduce costs, and ensure safety and quality standards are met. Their work often involves collaborating with other engineers and stakeholders to implement improvements based on data-driven insights.

What are the key skills and qualifications needed to thrive as a process modeling engineer?

To thrive as a Process Modeling Engineer, you need a strong background in chemical or process engineering, analytical problem-solving skills, and typically a relevant engineering degree. Familiarity with process simulation software such as Aspen Plus, HYSYS, or MATLAB, and understanding of industry standards are crucial for effective modeling and analysis. Strong communication, teamwork, and project management skills help you collaborate with cross-functional teams and convey complex technical information. These skills ensure accurate process optimization, efficient project execution, and drive operational improvements in manufacturing or industrial environments.

What are some typical challenges faced by process modeling engineers when collaborating with cross-functional teams?

Process Modeling Engineers often work closely with teams from operations, R&D, and IT to develop and refine models that optimize manufacturing or chemical processes. A common challenge is translating complex technical data into actionable insights that are easily understood by non-engineering stakeholders. Effective communication and adaptability are key, as project requirements can evolve rapidly and may require balancing competing priorities. Building strong relationships and maintaining open channels for feedback help ensure that process models align with both technical standards and business goals.

What is the difference between Process Modeling Engineer vs Process Improvement Specialist?

AspectProcess Modeling EngineerProcess Improvement Specialist
Required CredentialsBachelor's in Engineering, Industrial Engineering, or related field; proficiency in process modeling softwareBachelor's in Engineering, Business, or related field; certifications like Six Sigma often preferred
Work EnvironmentEngineering teams, manufacturing plants, or R&D labsOperational teams, manufacturing facilities, or corporate offices
Employer & Industry UsageManufacturing, aerospace, automotive, and industrial sectorsManufacturing, healthcare, logistics, and service industries

The Process Modeling Engineer focuses on creating detailed process models using specialized software to optimize workflows. In contrast, the Process Improvement Specialist concentrates on analyzing existing processes and implementing improvements, often utilizing methodologies like Six Sigma. Both roles require similar educational backgrounds but differ in their primary focus and tools used.

What cities near Leesburg, VA are hiring for Process Modeling Engineer jobs?

Cities near Leesburg, VA with the most Process Modeling Engineer job openings:

Infographic showing various Process Modeling Engineer job openings in Leesburg, VA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, 3% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $93,073 per year, or $44.7 per hour.

NIST PREP Postdoc Associate in Process Modeling using Physically Informed Machine Learning

Gaithersburg, MD • On-site

Southeastern Universities Research Association
11 - 50 employees

$84K - $92K/yr

Full-time

Re-posted 14 days ago


Job description

This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest and thus requires that such institutions be the recipients of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.
Research Title: Process Modeling using Physically Informed Machine Learning
The work will entail:
  • Designing and training physics-informed machine learning (PIML) models for the prediction of physical and chemical properties using data from experiments and computation constrained by physics requirements.
  • Implementing algorithms to assess the performance of PIML models.
  • Assessing uncertainty in the predictions of PIML models.
  • Developing systems for multiscale modeling of atomic layer deposition processes.
  • Developing software to implement the goals stated above (most likely in Python).
  • Disseminating results through posters/seminars and international meetings and meeting seminars.
  • Ensuring that all results, findings, data, software, etc. are correctly archived and transmitted through appropriate channels.

U.S. Citizen Preferred
Key responsibilities will include but are not limited to:
  • Algorithm development, implementation, and analysis
  • Analyze heterogeneous data sources.
  • Presenting results at internal meetings, and occasional meetings with external stakeholders.
  • Ensuring that results, protocols, software, and documentation have been archived or otherwise transmitted to the larger organization.

Qualifications
  • A Ph.D degree in Chemistry, Physics, Mathematics, Computer Science, Data Science, or a related field.
  • Significant course work in one or more of chemistry, physics, mathematics, statistics and/or computer science.
  • Familiarity with one or more chemical process modeling packages (e.g. Cantera, CHEMKIN).
  • Familiarity with one or more AI/ML software packages (e.g. Tensorflow or Pytorch).
  • Ability to program in a modern computational language (e.g. Python).
  • Strong oral and written communication skills.

Privacy Act StatementAuthority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate the administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. By applying to a CHIPS-funded PREP opportunity, you also acknowledge that participation in the project requires signing a Non-Disclosure Agreement (NDA) prior to beginning any work.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
PREP0003547