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Battery Modeling Simulation Engineer Jobs in Prosper, TX

... battery-powered appliances, network infrastructure, healthcare and aerospace/defense. Visit www ... modeling, simulation, and silicon correlation. Responsibilities * Provide day-to-day applications ...

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... battery-powered appliances, network infrastructure, healthcare and aerospace/defense. Visit www ... modeling, simulation, and silicon correlation. Responsibilities * Provide day-to-day applications ...

Showing results 21-40

Battery Modeling Simulation Engineer information

See Prosper, TX salary details

$35.7K

$113K

$174.5K

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

As of Aug 17, 2026, the average yearly pay for battery modeling simulation engineer in Prosper, TX is $113,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,300.00 and $134,200.00 per year, depending on experience, location, and employer.

What is a battery modeling simulation engineer?

A Battery Modeling Simulation Engineer develops and implements mathematical models to simulate battery performance, behavior, and lifespan. They use software tools and simulations to analyze battery efficiency, thermal management, and electrochemical properties. Their work helps optimize battery designs for applications like electric vehicles, renewable energy storage, and consumer electronics. This role requires expertise in physics, electrochemistry, and computational modeling to improve battery reliability and performance.

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

To thrive as a Battery Modeling Simulation Engineer, you should have a solid background in electrochemistry, physics, and computational modeling, typically supported by a degree in engineering or a related field. Proficiency in simulation tools such as COMSOL, MATLAB, or ANSYS, and familiarity with battery management systems and data analysis software, is essential. Strong problem-solving skills, attention to detail, and effective collaboration and communication abilities are highly valued in this role. These competencies are crucial for accurately modeling battery behaviors, identifying performance improvements, and working efficiently with multidisciplinary teams.

What are some common challenges faced by battery modeling simulation engineers, and how are they addressed?

Battery Modeling Simulation Engineers often work with complex, evolving battery technologies and must accurately simulate real-world behaviors—challenges that require staying up-to-date with the latest research and adapting models accordingly. They may encounter difficulties with unavailable or incomplete data, thermal management, and integrating simulation results into practical applications. To overcome these challenges, engineers collaborate closely with chemists, experimentalists, and software developers, regularly validate models with lab results, and participate in continuous learning through workshops or trainings. This dynamic environment encourages innovative problem-solving and provides valuable professional growth opportunities.

What cities near Prosper, TX are hiring for Battery Modeling Simulation Engineer jobs?

Cities near Prosper, TX with the most Battery Modeling Simulation Engineer job openings:

Infographic showing various Battery Modeling Simulation Engineer job openings in Prosper, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $113,008 per year, or $54.3 per hour.

Senior Staff Engineer, Operations Analysis (R4759)

Shield AI

Dallas, TX • On-site

$180K - $270K/yr

Full-time

Re-posted 6 days ago


Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
We are seeking a Senior Lead Operational Analyst to contribute to the modeling, simulation, and analysis of Shield AI's aircraft systems. In this role, you will perform analysis at the component, system, mission and campaign levels to evaluate the effectiveness, survivability, and operational impact of our aircraft across multiple domains, missions and applications. You will collaborate closely with engineering, product, and defense stakeholders to assess system performance, inform design trade-offs, and improve mission outcomes. 

This position requires a strong working knowledge of military operations, modeling & simulation (M&S), data science, and operational analysis techniques. Your analyses will directly support product decisions and customer engagements by helping demonstrate how Shield AI's AI-powered platforms perform in realistic and contested operational environments. 
What you'll do:
  • Plan, own and execute operational analyses to assess the effectiveness of autonomous systems in representative military scenarios.
  • Develop and run modeling, simulation, and wargaming analyses to evaluate system performance, mission impact, and survivability in contested environments.
  • Collaborate with engineering teams and product managers to translate operational findings into actionable system insights.
  • Perform trade studies and sensitivity analyses to assess system performance across varying operational conditions, assumptions, and threat environments.
  • Build, modify, and analyze mission-level models using tools such as AFSIM, STK, MATLAB, Python, or similar M&S frameworks.
  • Analyze force-on-force engagements, sensor performance, and autonomy-enabled behaviors to support mission effectiveness assessments.
  • Engage with DoD stakeholders, operators, and analysts to understand mission needs and operational constraints.
  • Contribute to the development and refinement of concepts of operations (CONOPS) for AI-enabled aircraft capabilities.
  • Monitor emerging threats and operational challenges relevant to autonomous and air combat systems.
  • Prepare technical documentation, analysis reports, and briefings for internal teams, customers, and government stakeholders. 
  • Apply modern compute and development best practices (e.g., version control, scripting, scalable compute workflows, and reproducible analysis) to build and maintain reliable analysis pipelines.
  • Be a force multiplier by coaching and developing incoming talent.
Required qualifications:
  • Bachelor's degree in science, technology, engineering or math domain.
  • 9+ years of experience in operational analysis, modeling & simulation, operations research, or related defense or aerospace roles.
  • Active Secret at a minimum.  Preferred Top-Secret clearance (or ability to obtain one).
  • Ability to obtain a S//SAR level security clearance desired.
Preferred qualifications:
  • Prior experience in force-on-force analysis, CONOPS development, or military campaign modeling.
    • Experience with evaluating strategic development and analysis goals for multi-mission/multi-domain applicability.
  • Familiarity with DoD acquisition processes, tools (Brawler, ESAMS, etc.), Joint Capabilities Integration and Development System (JCIDS), and military operational testing.
    • Experience leading a product effort from pre-shaping to tactical deployment
  • Prior experience in systems engineering product development lifecycle (SysML or MBSE preferred)
    •  Experience developing technical expertise in a team to execute analyses for system design and analysis.
$180,000 - $270,000 a year
#LI-AD6
#LE

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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