Senior Engineer, Production

Summary

We are seeking a Senior Production Engineer to join our team in our Arlington, VA office.

The Senior Production Engineer will report to the Principal Production Engineer and will be supporting Production engineering, Process engineering and Operations across all our facilities.

This role will be part of the Production engineering team responsible for ensuring the plant operations remain program compliant and that the production volumes are delivered in a safe and reliable manner. This is a fast-paced environment requiring drive, enthusiasm, willingness to learn and grow rapidly.

This position focuses on process modeling and simulation to understand plant performance, optimize production, and support day-to-day application of plant models. The successful candidate will work alongside experienced engineers and cross functional teams contributing to real-time operational decisions and support long-term/high impact decision making.

General Description Duties & Responsibilities

Candidate will develop a deep understanding of the Venture Global LNG process and responsibilities include, but not limited to:

• Creating/validating steady-state and dynamic process models of the LNG process units using industry standard tools (e.g., Aspen HYSYS)
• Using appropriate methodologies such data driven, physics-based and data analytics models depending on the objectives
• Formulates solutions to create technology systems to sustain model recommendations to improve performance. This includes automation of models - engineering, AI and hybrid - as part of real-time systems
• Engaging with stakeholders (engineering, IT, operations) and building positive relationships
• Analyze plant data and model outputs to identify optimization opportunities and troubleshoot operational issues
• Assist in evaluating the impact of process changes, debottlenecking studies and efficiency improvements
• Innovating and driving continuous improvement
• Travel to all our Louisiana LNG Facilities as needed

Qualifications

• Bachelor's degree in Chemical Engineering. Higher degrees (Masters or PhD) preferred.
• 5-10 years of relevant industry experience. LNG experience is a plus.
• Must possess deep interest in physics-based engineering modeling, data analytics and data science/machine learning methodologies
• Understands where each of the above approaches fit, i.e. strengths and weaknesses and applicability
• Deep expertise in automation of engineering and AI models in a real-time environment
• Engages with stakeholders across the organization to onboard and incorporate feedback
• Familiarity with Microsoft Office 365 Application Suite, process modeling tools such as Unisim/Aspen HYSYS, AI models (e.g. neural networks)
• Some basic programming skills is a plus (C++, Python etc.)
• High level of energy and motivation to excel within the organization
• Goes above and beyond and takes initiative