Refining and Petrochemical Process Optimization Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Identify optimization opportunities with clients by establishing objectives, constraints, and value cases.

• Oversee the technical aspects of projects, plan modeling tasks, manage timelines, and maintain technical relationships with customers.

• Analyze time-series data from plants to assess feasibility and measure data quality.

• Develop and evaluate AI models, including inferential models, process response models, and closed-loop optimizers.

• Evaluate whether learned relationships accurately represent the actual process and clarify any discrepancies from first principles.

• Justify modeling choices during design reviews with client engineers.

• Implement models on-site, train operators and engineers, and monitor closed-loop performance until customer approval.

• Address and retrain deployed models in response to turnarounds and changes in processes.

• Gain knowledge and assist with systems integration involving plant data connections, tag configuration, and control-system links.

• Create automations, documentation, and training resources for customer model development and monitoring.

• Offer field insights to Product and R&D teams.

• Collaborate directly with Imubit's founders and play a role in the company's growth.

• Work with client teams both remotely and on-site to utilize plant data and analyze process economics.

• Leverage Chemical Engineering expertise in machine-learning technology to enhance live manufacturing processes.

• Develop process optimization strategies alongside internal and client economic teams.

• Influence product usage patterns and the future roadmap.

• Showcase Imubit's technology to clients and provide training on its application.

• Facilitate communication between clients and Imubit's R&D team.

⛳️ Requirements

• A minimum of 4 years of engineering experience in refining, petrochemicals, chemicals, NGL, or another continuous-process industry.

• Bachelor’s degree in Chemical Engineering, a related technical field, or equivalent practical experience.

• Background in process engineering or process control, with a solid understanding of APC and optimization concepts such as gains, constraints, and objective functions.

• Experience in hands-on analysis of plant time-series data, including the ability to visualize large datasets and draw valid conclusions.

• Client-facing or operations-support experience that builds credibility with plant engineers and operators.

• Willingness to travel up to 25% of the time.

• Excellent communication and presentation skills.

• Note: Visa sponsorship is not available for this position.

• Preferred: Experience as a unit process engineer, control engineer, or in operations support within an operating plant.

• Preferred: Background in planning and economics, including experience in building, maintaining, or operating refinery LP models.

• Preferred: Familiarity with APC or real-time optimization.

• Preferred: Proven track record of leading projects or implementations, including managing technical relationships with clients.

• Preferred: Scripting or data science knowledge, particularly in Python.

• Preferred: Familiarity with plant data systems such as DCS, process historians, or OPC.

• Preferred: Experience in consulting or customer-facing roles serving industrial clients.

• Preferred: Understanding of AI, machine learning, or advanced analytics applied in industrial contexts.

• Preferred: Evidence of enhancing plant performance with minimal or no capital investment.

🏝️ Benefits

• Engage at the forefront of industrial AI with Fortune 500 companies reshaping their operational strategies.

• A dual career path that offers equal opportunities in management and individual contribution, facilitating movement between both.

• Become part of a high-trust, interdisciplinary team comprising engineers, data scientists, economists, and product innovators.

• Enjoy a flexible, remote-first working culture that promotes collaboration and welcomes new ideas.