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Part Time Battery Modeling Simulation Engineer Jobs

$69K - $158K/yr

Experience with simulation and modeling, including military systems such as aircraft, sensors, or ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

$52K - $108K/yr

Share Modeling and Simulation Software Engineer The Opportunity : As a full stack developer, you ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

$23.33 - $25.14/hr

Simulation includes the operation and support of simulation-based education, virtual reality experiences, and clinical skills laboratory learning environments. Technicians will operate simulation ...

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Part Time Battery Modeling Simulation Engineer information

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$39K

$123.4K

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How much do part time battery modeling simulation engineer jobs pay per year?

As of Jul 2, 2026, the average yearly pay for part time battery modeling simulation engineer in the United States is $123,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $146,500.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Battery Modeling Simulation Engineer jobs? The most popular types of Battery Modeling Simulation Engineer jobs are:
Infographic showing various Part Time Battery Modeling Simulation Engineer job openings in the United States as of June 2026, with employment types broken down into 90% Full Time, 1% Part Time, and 9% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $123,399 per year, or $59.3 per hour.

Senior AI/ML Modeling, Simulation & Analysis Engineer (Part-Time)

TRIAEM, LLC

Sterling, VA โ€ข On-site

$105K - $144K/yr

Part-time

Posted yesterday

Be an early applicant


Job description


Senior AI/ML Modeling, Simulation & Analysis Engineer (Part-Time)

Active TS/SCI Required
Location: Chantilly, Va or Springfield, Va

We are seeking a Senior AI/ML Modeling, Simulation & Analysis (MS&A) Engineer to support NGA mission initiatives focused on AI modernization, model assurance, and verification frameworks. This part-time role provides high-level technical advisory support across AI/ML strategy, verification, validation, and explainability efforts in classified GEOINT environments.

This is a senior-level opportunity for an experienced engineer who understands both the operational mission and the rigor required for trusted AI systems in national security applications.

Key Responsibilities

  • Conduct AI/ML gap analyses assessing impact across intelligence, command and control, targeting, autonomous systems, and training environments.
  • Provide subject matter expertise in AI Assurance, Independent Verification & Validation (IV&V), and Explainable AI (XAI).
  • Support Analysis of Alternatives (AoA), Design of Experiments (DoE), trade studies, and engineering assessments.
  • Advise Government stakeholders on strategic technical planning, performance engineering, and risk management.
  • Develop quantitative and qualitative metrics to ensure confidence and trust in AI models.
  • Contribute to AI Assurance frameworks including V&V-as-a-Service and advanced T&E methodologies.
  • Evaluate system architectures, cloud capabilities, CI/CD pipelines, and automation workflows.
  • Collaborate across NGA, NSG, IC partners, and industry teams to advance enterprise AI strategy.

Required Qualifications

  • Active TS/SCI clearance (required).
  • Masterโ€™s degree in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or related STEM field (or equivalent senior-level experience).
  • Demonstrated experience in AI model verification, validation, and evaluation (IV&V / T&E).
  • Experience supporting AI Assurance and/or Explainable AI (XAI) initiatives.
  • Proficiency in programming languages such as Python, C++, MATLAB, R, or Java.
  • Experience developing engineering solutions leveraging AI, automation, and augmentation technologies.

Desired Qualifications

  • Experience supporting NGA or Intelligence Community programs.
  • Familiarity with DevSecOps, CI/CD pipelines, and cloud-based AI environments.
  • SAFe Agile and/or Model-Based Systems Engineering (MBSE).
  • Experience with Atlassian tools (JIRA, Confluence).
  • Experience working with structured and unstructured Big Data.