Senior APC & MPC Engineer – Refining Remote

Novia Infotech

United States

On-site

USD 120,000 - 180,000

Full time

10 days ago

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Job summary

Novia Infotech seeks an experienced Advanced Process Control (APC) Engineer for Houston, TX with remote flexibility. You will design, implement, and sustain APC/MPC solutions across refining and process manufacturing environments, leveraging MPC, process modeling, and OSI PI/Honeywell platforms.

Ideal candidates will optimize plant throughput, yield, and energy efficiency, while collaborating with Operations, Process Engineering, and Control Systems teams to ensure robust performance and

Qualifications

  • Strong hands-on APC/MPC experience in refining, petrochemical, or process manufacturing.
  • Experience implementing and sustaining APC/MPC solutions.
  • Proven ability to model processes and tune controllers in complex systems.
  • Familiarity with Honeywell Forge, Experion, DCS, and process historians.
  • Collaborates with operations and engineering to improve throughput, yield, energy efficiency.

Responsibilities

  • Design, develop, implement, and maintain APC/MPC applications.
  • Develop and deploy multivariable MPC for process units and refineries.
  • Perform data analysis, process identification, and dynamic modeling.
  • Configure controllers (MVs/CVs/constraints) and tune performance.
  • Review PFDs/P&IDs, support FAT/SAT, MOC, and commissioning activities.
  • Monitor performance KPIs and sustain improvements.
  • Collaborate with operations, process engineering, and control teams.

Skills

APC
Multivariable Control
Process Dynamics & Control
Process Modeling
Inferential Modeling
Process Optimization
Process Data Analysis
Python
MATLAB

Tools

Honeywell Forge
Honeywell Experion
OSI PI Historian
DCS

Job description

Novia Infotech seeks an experienced Advanced Process Control (APC) Engineer for Houston, TX with remote flexibility. You will design, implement, and sustain APC/MPC solutions across refining and process manufacturing environments, leveraging MPC, process modeling, and OSI PI/Honeywell platforms.

Ideal candidates will optimize plant throughput, yield, and energy efficiency, while collaborating with Operations, Process Engineering, and Control Systems teams to ensure robust performance and

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