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Modeling Simulation Engineer Jobs in Tomball, TX

Cyber Offset Alliance LLC

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Model Based Systems Engineer

Houston, TX · On-site

$160K - $260K/yr

MBSE Modeler to provide systems engineering support in the development and maintenance of SysML ... MatLab, Python, etc.) simulation tools * Participate in and lead architecture and modeling working ...

Relocation assistance

METECS

Terramechanics Engineer

Houston, TX · On-site

METECS is seeking a Terramechanics Engineer who is excited about lunar exploration to support high-fidelity modeling and simulation of lunar terrain. This role emphasizes physics-based approaches to ...

Houston Galveston Area Council

Data Analyst

Houston, TX · On-site

$60K - $75K/yr

... modeling, data analysis, and forecasting. * Apply strong analytical and programming skills to ... Conduct simulations to evaluate future land use patterns based on socioeconomic trends and policy ...

Raytheon

RF Data Link Engineer II

Houston, TX

We bring the strength of more than 100 years of experience and renowned engineering expertise to ... Familiarity with wireless fading model simulation. * Knowledge of Layer 2 and above. * Strong ...

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All JobsModeling Simulation Engineer JobsModeling Simulation Engineer Jobs in Tomball, TX

Modeling Simulation Engineer information

See Tomball, TX salary details

$36.9K

$116.8K

$180.3K

How much do modeling simulation engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for modeling simulation engineer in Tomball, TX is $116,825.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,100.00 and $138,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the modeling simulation engineer position, and why are they important?

To thrive as a Modeling Simulation Engineer, you need a strong background in mathematics, physics, and computer science, typically supported by a relevant engineering or science degree. Proficiency with simulation software such as MATLAB, Simulink, ANSYS, or similar tools, and sometimes certifications in systems engineering or modeling methodologies, are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills set top candidates apart. These qualifications are crucial for accurately representing complex systems, translating requirements into effective models, and collaborating with multidisciplinary teams to achieve project goals.

What does a modeling simulation engineer do?

A Modeling Simulation Engineer develops virtual models and simulations to analyze complex systems and processes. They use mathematical models, computer simulations, and data analysis to predict system performance and optimize designs before physical implementation. These engineers typically work in industries like aerospace, defense, automotive, and healthcare to improve efficiency, safety, and decision-making. Their role often involves coding, algorithm development, and working with simulation software to test real-world scenarios in a virtual environment.

What are the typical responsibilities and project stages for a modeling simulation engineer?

Modeling Simulation Engineers are responsible for developing mathematical models, running simulations, analyzing results, and providing recommendations to improve system performance or design. Projects often begin with understanding client or stakeholder requirements, followed by designing models based on those needs and iteratively refining them as data is collected. Engineers work closely with design, hardware, and software teams to validate models and ensure alignment with real-world performance. Collaborating with colleagues and presenting findings to both technical and non-technical audiences are routine aspects of the job, making cross-functional communication vital for project success.

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

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

Modeling Simulation Engineer jobs near you
Infographic showing various Modeling Simulation Engineer job openings in Tomball, TX as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $116,825 per year, or $56.2 per hour.

Controls & Modeling Engineer (Senior - Principal) - Advanced Automation

Halliburton

Houston, TX • On-site

$83K - $110K/yr

Full-time

Re-posted 26 days ago

Halliburton rating

7.1

Company rating: 7.1 out of 10

Based on 135 frontline employees who took The Breakroom Quiz

352nd of 447 rated engineering

Job description

We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry.
About Sperry Drilling
Sperry Drilling delivers industry-leading Measurement-While-Drilling (MWD), Logging-While-Drilling (LWD), and Rotary Steerable System (RSS) technologies that help operators drill safer, faster, and more precisely. Through advanced downhole tools, real-time data acquisition, and reliability-driven engineering, Sperry enables customers to maximize well placement, efficiency, and reservoir understanding in every drilling environment.
About the Role
The Controls & Modeling Engineer advances research and development of next-generation automation, controls, robotics, and intelligent systems technologies within the Advanced Controls COE.
This role focus on rigorous application of advanced control theory, dynamic modeling, estimation, optimization, machine learning, and agentic AI to high-value engineering problems.
Work spans early-stage concept generation, algorithm development, simulation and validation, prototype implementation, and transition of emerging technologies into deployable workflows and systems.
This position contributes to strategic R&D initiatives with direct commercial relevance. Scope includes development of physics-based and data-driven methods for automation, operational decision support, autonomous and semi-autonomous systems, and model-based performance improvement. Close collaboration with multidisciplinary teams across engineering, software, digital, and operations.
Key Responsibilities
  • Develop and evaluate agentic AI systems that combine reasoning, tools, data, and simulation assets to enable advanced technical analysis, automation, and human-in-the-loop decision making.
  • Integrate large language models (LLMs), retrieval-augmented systems, and AI agents with controls, modeling, and optimization frameworks.
  • Develop machine learning, data analytics, and hybrid physics-AI approaches to improve system performance, automation, and operational efficiency.
  • Develop software tools, workflows, orchestration pipelines, and visualization capabilities to support AI-enabled engineering and operations.
  • Conduct research and development in advanced controls, robotics, dynamic modeling, and automation for complex engineering systems.
  • Design & apply advanced control techniques including adaptive, nonlinear, robust, optimal, and model predictive control (MPC).
  • Develop and validate dynamic models, simulations, and system identification methodologies.
  • Collaborate with multidisciplinary teams across engineering, software, data science, and operations.
  • Contribute to technical innovation through patents, publications, conferences, and internal programs.

Qualifications
Required
  • PhD or equivalent experience in a relevant engineering or scientific discipline with emphasis on controls, dynamic systems, automation, machine learning, or intelligent systems; or equivalent R&D experience.
  • Experience with agentic AI, LLM-based workflows, orchestration frameworks, or tool-using AI agents applied to scientific, industrial, or engineering use cases.
  • Deep knowledge of control theory, including modern control, optimal control, Model Predictive Control (MPC), and system dynamics.
  • Knowledge of robotics, mechatronics, high-DoF systems, path planning, and dynamic modeling.
  • Strong technical communication and collaboration skills.

Preferred
  • Ability to build data pipelines, workflows, and analytical tools for AI/ML tool chain which includes data cleaning, feature extraction, optimization, and insight generation.
  • Strong programming skills in MATLAB, Python, C/C++, C#, Java, or similar languages.
  • Create dashboards and use data visualization tools such as Python, or JavaScript Typescript frameworks.
  • Ability to design, analyze, and troubleshoot control systems, sensors, actuators, pumps, VFDs, and automation hardware.
  • Strong capability to read and interpret electrical schematics, mechanical drawings, P&IDs, flow charts, and cause-and-effect diagrams.

Candidates exceeding minimum requirements may be considered for higher-level positions based on experience, additional qualifications, and business needs. Career progression ranges Controls & Modeling Engineer Senior to Controls & Modeling Engineer Principal.
World Class Benefits
At Halliburton, we're committed to supporting you and your family with a comprehensive and affordable benefits package that covers your physical, emotional, financial, and parental needs - now and in the future. When you join our team, you'll gain access to a wide range of programs designed to help you thrive at work and at home.
Click here to review a summary of the benefits available once you join.
Core Competencies
Advanced Control Systems | Control Theory & System Identification | Robotics & Autonomous Systems | High DoF Systems & Path Planning | Modeling & Simulation | Control + Machine Learning | Data Analytics + Engineering | Neural Networks & Bayesian Methods | MATLAB/Simulink & Python | Dynamic Systems & Optimization | Robotics + Control | Theory + Practical Deployment | Field Implementation Experience | Cross-Functional Collaboration | Innovation & Technology Development
Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
Location
3000 N. Sam Houston Parkway E., Houston, Texas, 77032, United States
Job Details
Requisition Number: 207457
Experience Level: Experienced Hire
Job Family: Engineering/Science/Technology
Product Service Line: Sperry Drilling Svcs
Full Time / Part Time: Full Time
Additional Locations for this position:
Compensation Information
Compensation is competitive and commensurate with experience.

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About Halliburton

Sourced by ZipRecruiter

Halliburton, headquartered in Houston, TX, US, is a world-renowned corporation in the oilfield services industry. Established in 1919, the company has made significant inroads in the energy sector, playing a pivotal role in oil and gas explorations across the globe. One can visit their official website, halliburton.com, to learn more about their business operations, products, and services. Halliburton specializes in a broad spectrum of services including locating hydrocarbons, managing geological data, drilling and formation evaluation, well construction and completion, and optimizing production throughout the life of the field. Halliburton’s mission is to maximize the value of oil and gas assets.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Houston, TX, US

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