Job Title: Petroleum Engineer

Job Type: Full-time

Location: Remote

Job Summary:

Are you passionate about leveraging your petroleum engineering expertise to push the boundaries of technology? Join our customer's team as a Petroleum Engineer, where you'll play a vital role in training advanced AI systems on specialized petroleum engineering topics. Collaborate remotely with industry experts and contribute to transformative advancements by sharing your technical knowledge in a dynamic, innovative environment.

Key Responsibilities:

• Deliver in-depth technical expertise in reservoir engineering, production, and drilling to empower AI-driven learning models.
• Produce and review detailed technical documentation on petroleum engineering concepts, processes, and best practices.
• Utilize your understanding of thermodynamics and fluid mechanics to create and validate AI training datasets.
• Collaborate cross-functionally with data scientists and AI engineers to ensure accuracy and relevance of technical content.
• Interpret well logging and testing data for integration into AI algorithms and digital tools.
• Apply your proficiency in computer modeling software (e.g., Eclipse, CMG) to simulate reservoir behavior and optimize content creation.
• Communicate complex engineering principles clearly through both written and verbal channels to technical and non-technical audiences.

Required Skills and Qualifications:

• Bachelor’s or Master’s degree in Petroleum Engineering or related discipline.
• Proven experience in reservoir engineering, production, drilling, and operations.
• Comprehensive knowledge of thermodynamics, fluid mechanics, and materials science.
• Familiarity with geology, geophysics basics, well logging, and testing methodologies.
• Hands-on expertise in industry-standard modeling software (e.g., Eclipse, CMG).
• Strong technical drawing and blueprint reading abilities.
• Exceptional written and verbal communication skills; ability to distill and convey complex concepts effectively.

Preferred Qualifications:

• Prior experience collaborating with AI or technology teams.
• Deep understanding of AI applications in the energy sector.
• Demonstrated ability to work efficiently and independently in a remote setting.