Services Principal Consultant

AVEVA•Houston, TX

9d•Hybrid

About The Position

AVEVA is seeking a highly motivated Process Simulation and Optimization Engineer to execute and deliver advanced modeling and optimization solutions for refining, petrochemical, and upstream operations. The role involves developing and deploying open-equation process models, applying optimization technologies (APO/APS), and supporting both project execution. The ideal candidate combines strong chemical engineering fundamentals, hands-on modeling expertise, and the ability to translate process insights into measurable operational and economic benefits. Our dynamic global team of 700+ engineers, developers, consultants, solution architects and project managers are at the forefront of delivering AVEVA cutting-edge solutions to customers. The work is complex and technical, but immensely rewarding: we empower customers to harness the full transformative potential of AVEVA’s solutions. If you’re analytical, pragmatic, and driven to make a tangible impact on the sustainability of the industrial sector, our team is the perfect place for you.

Requirements

Bachelor’s, Master’s, or Ph.D. in Chemical Engineering, Petrochemical Engineering, Refinery Engineering, or a related discipline.
Minimum of a Master’s degree in Chemical Engineering with at least 3 years of relevant experience; candidates with higher degrees are strongly preferred.
Hands-on experience with process simulation and optimization tools, with familiarity or working knowledge of APO/ROMeo or similar platforms highly desirable.
Minimum 5+ years of experience developing, testing, or implementing process optimization and simulation applications in online environment.
Strong foundation in core chemical engineering principles, including thermodynamics, mass and energy balances, and transport phenomena.
Working knowledge of project execution methodologies, including planning, scheduling, and delivery within defined scope, cost, and timelines.
Proficiency in computer programming and scripting (e.g., Python, MATLAB, TCL or similar) to support model development and automation.
Experience with open-equation modeling frameworks and their application in industrial process optimization.
Understanding of Model Predictive Control (MPC) concepts and exposure to MPC solutions from multiple vendors.
Strong analytical and problem-solving skills, particularly in refining, oil & gas, and petrochemical process environments.
Excellent written and verbal communication skills, with the ability to clearly present technical concepts to diverse stakeholders.

Responsibilities

Lead the execution of process simulation and optimization projects, ensuring technical excellence while meeting customer requirements, budgets, and project timelines.
Review process flow diagrams (PFDs), P&IDs, and plant data; develop, configure, and validate open-equation process models; automate model workflows and support commissioning of online applications.
Build and maintain deep expertise in optimization technologies (APO/APS), applying them effectively and innovatively to solve complex operational challenges.
Apply strong domain knowledge in refining, petrochemical, and upstream production processes, including a clear understanding of key operating variables and economic drivers.
Plan, execute, and review Factory Acceptance Testing (FAT) activities for APO/APS solutions to ensure compliance with design specifications and functional requirements.
Diagnose and resolve issues related to model configuration, process design, and plant operations, implementing corrective actions to achieve performance and optimization targets.
Support the solution sales process by providing technical expertise, including delivering client presentations, preparing proposals, and contributing to scope definition, benefits analysis, cost estimation, and project scheduling.
Onsite travel to the customer sites for commissioning activities and support as needed.