AI-Driven Mechanical Engineering Intern

Schlumberger; Sugar Land (TX); On-site; USD 25,000 - 39,000; Full time

Job summary

Schlumberger is seeking a Mechanical, Digital Solutions Intern in Sugar Land, TX. The role focuses on developing next-generation engineering workflows that blend domain expertise with AI, connecting material property databases, standards, qualification records, and life calculators with SLB AI Tools.

You will support data organization, validation, and integration across engineering databases, materials data, and AI-powered applications, while aiding the development of AI agents and copilots for

Qualifications

• Pursuing a degree in Mechanical Engineering, Materials Engineering, Engineering Data Science, or related discipline.
• Strong understanding of materials science, mechanical engineering fundamentals, and engineering calculations.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Support materials and mechanical engineering teams in organizing and validating engineering data.
• Assist in integrating engineering databases, material property data, and seal design calculators with AI-powered applications.
• Support development of AI agents, copilots, and RAG solutions for engineering knowledge retrieval and decision support.
• Collaborate with subject matter experts to structure engineering knowledge for AI applications.
• Evaluate and validate AI-generated engineering recommendations.
• Prepare, cleanse, and structure engineering datasets for AI workflows.
• Develop data mappings between engineering systems, calculators, and AI platforms.

Skills

Materials science

Engineering fundamentals

Analytical skills

Education

Pursuing Mechanical Engineering or related

Tools

Python

SQL

Power BI

APIs

Job description

Schlumberger is seeking a Mechanical, Digital Solutions Intern in Sugar Land, TX. The role focuses on developing next-generation engineering workflows that blend domain expertise with AI, connecting material property databases, standards, qualification records, and life calculators with SLB AI Tools.

You will support data organization, validation, and integration across engineering databases, materials data, and AI-powered applications, while aiding the development of AI agents and copilots for