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Computational Engineering Jobs in Spring, TX (NOW HIRING)

Rice University

Research Scientist

Houston, TX

$80K/yr

Position Summary The Research Scientist I in the Department of Electrical and Computer Engineering will support research in Dr. Ashok Veeraraghavan's lab focused on the development of computational ...

Western Midstream

Leak Detection Engineer

The Woodlands, TX · On-site

$77K - $98K/yr

Provide engineering expertise and project leadership for the design, installation, configuration, and commissioning of leak detection technologies, including computational pipeline monitoring (CPM ...

Varsity Tutors

Mechanical Engineering Tutor

Houston, TX · Remote

$18 - $40/hr

Adapts instruction using engineering handbooks, computational tools, and design project guidance to support undergraduate mechanical engineering students from introductory mechanics through advanced ...

Rice University

Research Scientist

Houston, TX · On-site

$80K/yr

Position Summary The Research Scientist I in the Department of Electrical and Computer Engineering will support research in Dr. Ashok Veeraraghavan's lab focused on the development of computational ...

Evolutyz Corp

Principal Data Architect

Houston, TX · On-site

... computational, and multi-party data virtualization relies on zero-copy architectures ... Develop ontology-first structural data models using advanced semantic engineering. * Deploy policy ...

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All JobsComputational Engineering JobsComputational Engineering Jobs in Spring, TX

Computational Engineering information

See Spring, TX salary details

$43.2K

$108.1K

$122.4K

How much do computational engineering jobs pay per year?

As of Jun 26, 2026, the average yearly pay for computational engineering in Spring, TX is $108,135.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,200.00 and $117,000.00 per year, depending on experience, location, and employer.

Can computer engineers make $500,000?

Computer engineers can potentially earn $500,000 or more annually, especially with advanced skills in areas like software development, systems architecture, or cybersecurity, and in senior or executive roles. Achieving this level often requires extensive experience, specialized certifications, and working in high-paying industries or companies. Such salaries are more common in senior positions, consulting, or entrepreneurial ventures within the tech field.

What are the key skills and qualifications needed to thrive in the Computational Engineering position, and why are they important?

To thrive as a Computational Engineer, a strong background in mathematics, computer science, and engineering fundamentals is essential, generally supported by a degree in computational engineering or a related field. Familiarity with programming languages like Python, MATLAB, or C++, as well as experience using simulation software and high-performance computing systems, is typically required. Analytical thinking, effective communication, and problem-solving abilities are important soft skills for collaboration and innovation. These competencies enable Computational Engineers to develop accurate models, optimize complex systems, and deliver efficient solutions in multidisciplinary environments.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $500,000 or more annually, especially with experience, advanced skills, and leadership roles. High compensation often includes bonuses, stock options, or profit sharing, particularly in technology and energy sectors.

What can you do with a computational engineering degree?

A computational engineering degree prepares individuals for roles involving modeling, simulation, and analysis of complex systems across industries such as aerospace, automotive, energy, and manufacturing. Graduates often work as simulation engineers, data analysts, or software developers, utilizing tools like MATLAB, Python, or C++ and applying skills in mathematics, programming, and systems design.

What are some common challenges Computational Engineers face in their work?

Computational Engineers often encounter complex, large-scale problems that require developing accurate and efficient computational models, which can be challenging due to intricacies in physical systems or computational resource limitations. Managing tight project deadlines while ensuring high-quality results and adapting to rapidly evolving technology are also common aspects of the role. Collaboration across multidisciplinary teams—often with scientists, designers, or other engineers—requires strong communication and adaptability. Embracing these challenges can help Computational Engineers expand their expertise and positively impact project outcomes.

What is a Computational Engineering job?

A Computational Engineering job involves using mathematical models, algorithms, and computer simulations to analyze and solve engineering problems. It combines principles from computer science, applied mathematics, and engineering to improve product design, optimize systems, and enhance efficiency in various industries. Professionals in this field develop software tools, conduct simulations, and utilize high-performance computing to solve complex engineering challenges in areas such as aerospace, automotive, energy, and healthcare.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and certain roles in aerospace or nuclear engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership responsibilities. High compensation often involves working in high-demand industries, holding advanced degrees, or obtaining professional certifications.
What are the most commonly searched types of Computational Engineering jobs in Spring, TX? The most popular types of Computational Engineering jobs in Spring, TX are:
What job categories do people searching Computational Engineering jobs in Spring, TX look for? The top searched job categories for Computational Engineering jobs in Spring, TX are:
What cities near Spring, TX are hiring for Computational Engineering jobs? Cities near Spring, TX with the most Computational Engineering job openings:
Computational Engineering jobs near you
Infographic showing various Computational Engineering job openings in Spring, TX as of June 2026, with employment types broken down into 100% Temporary. Highlights an 100% In-person job distribution, with an average salary of $108,135 per year, or $52 per hour.
Sr. Artificial Intelligence Lab Scientist - Material Discovery (1844)

Sr. Artificial Intelligence Lab Scientist - Material Discovery (1844)

Aramco Services Company

Houston, TX • On-site

$87K - $119K/yr

Full-time

Posted 6 days ago

Job description

OVERVIEW:
Aramco Americas is establishing a state-of-the-art research center in Houston dedicated to advancing CO₂ capture, low-carbon liquid fuels and chemicals, renewable energy, and energy storage solutions, as well as artificial intelligence applications in the energy sector. The center's mission is to transform early-stage, low-TRL research into mid-level technologies (TRL 5-7), bridging the gap between fundamental discovery and practical deployment.
SCOPE:
Aramco Americas is seeking an experienced scientist specializing in the application of Artificial Intelligence (AI) and Machine Learning (ML) to accelerate next-generation materials discovery for carbon capture and utilization, catalysis for synthetic fuels and chemicals development, and related sustainable energy technologies. The role will apply AI/ML-driven modeling, simulation, and data analytics to understand and predict material structure-property-performance relationships and link these insights to industrially relevant processes. The position will work closely with laboratory researchers and process development teams to translate computational discoveries into experimental validation, scale-up considerations, and practical implementation. The ideal candidate will possess a strong technical foundation in AI/ML-enabled material research, coupled with demonstrated experience managing multidisciplinary research projects and driving innovations from concepts through deployment.
PRINCIPLE DUTIES:
  • Develop and lead execution of energy related research projects (e.g., catalysis, adsorption, and energy transition related) with an emphasis on computational materials discovery.
  • Organize project tasks and milestones, including evaluation of important schedules, deliverables, and resources.
  • Collaborate with stakeholders and domain experts to understand challenges, frame AI-ready problem statements, and identify high-impact solutions.
  • Lead end-to-end AI initiatives, including data acquisition, feature engineering, model deployment, and performance monitoring.
  • Build or modify existing computational architecture for material development.
  • Work with team members to transfer computational designs into laboratory samples.
  • Collect and analyze data related to material properties and performance.
  • Stay up to date on emerging technologies in the field of AI and ML.
  • Identify collaborative opportunities with both internal and external partners based upon identified technical challenges and collaborator skill sets.
  • Work with key business stakeholders to manage technology deployment.
  • Write technicals reports, journal publications, and present findings at conferences.
  • Provide and manage a safe, accident-free laboratory environment. Follow all company safety rules in performing job duties.

MINIMUM REQUIREMENTS:
  • PhD Degree in an Engineering or Science discipline with a preference towards computational materials analysis and discovery.
  • Nine (9) years of relevant industrial experience related to energy materials design
  • Preferred candidates will have research experience in theoretical, computational, modeling, and/or simulation of materials science or related fields, including familiarity with molecular dynamics and density functional theory methodologies.
  • Preferred candidates will have experience in the application of AI and ML approaches to material development.
  • Preferred candidates will be proficient in the Python coding language.
  • Must be able to communicate and comprehend accurately, clearly and concisely in English at a level required to perform the job as outlined.
  • Candidate should be comfortable in working independently or part of a project team, frequent project presentation and travel to meetings at conferences and universities. Must possess good work habits, a strong work ethic, and be able to adhere to company work hours, policies, and standard business etiquette.

NO THIRD-PARTY CANDIDATES ACCEPTED

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