Refining and Petrochemical Process Optimization Engineer

ImubitRefining and petrochemicals

This role is open to remote candidates in the US.Full-TimeMiddle

Salary not disclosed

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Job Details

Experience: 4+ years of engineering experience in refining, petrochemicals, chemicals, NGL or another continuous-process industry.
Required Skills: PythonMachine Learning

Have 4+ years of engineering experience in refining, petrochemicals, chemicals, NGL, or another continuous-process industry.
Hold a BSc in Chemical Engineering, a related technical discipline, or have equivalent practical experience.
Bring a process engineering or process control background.
Have working knowledge of APC and optimization concepts such as gains, constraints, and objective functions.
Have hands-on experience analyzing plant time-series data, visualizing large data sets, and drawing sound conclusions.
Bring client-facing or operations-support experience sufficient to earn credibility with plant engineers and operators.
Be willing to travel up to 25%.
Have strong communication and presentation skills.
Operating plant experience as a unit process engineer, control engineer, or in operations support is preferred.
Experience with planning and economics, including refinery LP models, or APC and real-time optimization is preferred.
Project or implementation leadership, scripting or data science such as Python, and exposure to DCS, process historians, or OPC are preferred.
Familiarity with AI, machine learning, or advanced analytics applied to industrial processes is preferred.

Scope optimization opportunities with customers, including objectives, constraints, and value cases.
Plan modeling work, manage project schedules, and own the technical relationship with customer engineers.
Analyze plant time-series data to assess feasibility and data quality.
Build and evaluate inferential models, process response models, and closed-loop optimizers.
Assess whether learned relationships reflect the real process and explain model departures from first principles.
Commission models on site, train operators and engineers, and monitor closed-loop performance through customer sign-off.
Troubleshoot deployed models and retrain them around turnarounds and process changes.
Support plant data connections, tag configuration, and integration between the platform and control systems.
Develop automations, documentation, and training that help customers build, evaluate, and monitor models.
Share field insight with Product and R&D teams.

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