AI-Enabled Mechanical and Digital Engineering Intern

Onesubsea; Sugar Land (TX); On-site; USD 22,000 - 29,000; Part time

Job summary

SLB invites interns to help develop next-generation engineering workflows that fuse domain knowledge with AI. The role connects mechanical material databases, standards, qualification records, and life calculators with SLB AI Tools.

You will collaborate with engineers to organize data, validate AI-driven recommendations, and prepare datasets for AI workflows, while gaining exposure to Copilot, Azure OpenAI, and data integration concepts.

Qualifications

• Pursuing a degree in Mechanical Engineering, Materials Engineering, Engineering Data Science, or related discipline.
• Strong understanding of materials science and mechanical engineering fundamentals.
• 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 understanding

Engineering calculations

Analytical problem solving

Education

Mechanical Engineering / Materials Engineering / Engineering Data Science (pursuing)

Tools

Python

SQL

Power BI

APIs

Azure OpenAI / Copilot

Job description

SLB invites interns to help develop next-generation engineering workflows that fuse domain knowledge with AI. The role connects mechanical material databases, standards, qualification records, and life calculators with SLB AI Tools.

You will collaborate with engineers to organize data, validate AI-driven recommendations, and prepare datasets for AI workflows, while gaining exposure to Copilot, Azure OpenAI, and data integration concepts.