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Process Optimization Engineer Jobs (NOW HIRING)

... processes. • Collaborate with subject matter experts to select the relevant sources of ... in Engineering, Applied Mathematics, or a related field. • Strong knowledge of optimization ...

Field Optimization Engineer will perform system hydraulic modeling and process modeling to identify areas of opportunity and projects for improved operational performance * Fiel Optimization Engineer ...

$115 - $148/hr

If you're excited about process optimization, solving multi-disciplinary challenges, and bringing the best print performance to market, we want you as a **Senior** **3D Print Optimization Engineer.

New

If you're excited about process optimization, solving multi-disciplinary challenges, and bringing the best print performance to market, we want you as a Senior 3D Print Optimization Engineer. The Job:

Field Optimization Engineer will perform system hydraulic modeling and process modeling to identify areas of opportunity and projects for improved operational performance * Fiel Optimization Engineer ...

Engineering Optimization & Process Development * Create pile matrices for purchase orders across active SOLV projects using the Propt tool with guidance from senior engineers. * Follow standardized ...

Optimization Engineers work with stakeholders throughout the organization to maximize system ... Recommends and implements new processes and ideas for enhancing the efficiency and accuracy of ...

Optimization Engineers work with stakeholders throughout the organization to maximize system ... Recommends and implements new processes and ideas for enhancing the efficiency and accuracy of ...

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Process Optimization Engineer information

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$49.5K

$92K

$142.5K

How much do process optimization engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for process optimization engineer in the United States is $92,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a process optimization engineer, and why are they important?

To thrive as a Process Optimization Engineer, you need a solid background in engineering principles, process analysis, and data-driven problem solving, often supported by a degree in chemical, industrial, or mechanical engineering. Familiarity with process simulation software, Six Sigma or Lean certifications, and advanced data analytics tools is typically required. Exceptional analytical thinking, strong communication, and a collaborative mindset help drive continuous improvement initiatives and facilitate cross-functional teamwork. These skills and qualities are crucial for identifying inefficiencies, implementing sustainable solutions, and maximizing operational productivity.

How does a process optimization engineer typically collaborate with cross-functional teams to implement improvements?

Process Optimization Engineers work closely with various departments such as production, quality, maintenance, and supply chain to identify inefficiencies and develop solutions. Collaboration often involves facilitating workshops, analyzing data with team members, and ensuring that proposed changes align with both operational goals and compliance requirements. Effective communication and project management skills are essential, as the engineer must coordinate feedback, gain buy-in, and oversee the implementation of process improvements across multiple teams.

What does a process optimization engineer do?

A Process Optimization Engineer analyzes, designs, and improves industrial processes to maximize efficiency, reduce costs, and ensure quality. They use data-driven techniques and engineering principles to identify bottlenecks, implement solutions, and monitor performance. Their work often involves collaborating with cross-functional teams to integrate new technologies or methodologies, leading to safer and more productive operations. Process Optimization Engineers are vital in manufacturing, chemical, and other process-driven industries.

What is the difference between Process Optimization Engineer vs Manufacturing Engineer?

AspectProcess Optimization EngineerManufacturing Engineer
Primary FocusImproving processes for efficiency and qualityDesigning and implementing manufacturing systems
CertificationsLean, Six Sigma, process improvement certificationsSix Sigma, CAD, manufacturing certifications
Work EnvironmentProduction lines, process labs, continuous improvement teamsFactory floors, design offices, production planning
Industry UsageManufacturing, automotive, aerospace, consumer goodsManufacturing, industrial equipment, electronics

The Process Optimization Engineer focuses on analyzing and improving existing processes to enhance efficiency, quality, and cost savings. In contrast, the Manufacturing Engineer designs and implements manufacturing systems and equipment. Both roles often collaborate but serve different core functions within manufacturing operations.

More about Process Optimization Engineer jobs

What cities are hiring for Process Optimization Engineer jobs?

Cities with the most Process Optimization Engineer job openings:

What states have the most Process Optimization Engineer jobs?

States with the most job openings for Process Optimization Engineer jobs include:

What job categories do people searching Process Optimization Engineer jobs look for?

The top searched job categories for Process Optimization Engineer jobs are:

Infographic showing various Process Optimization Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 4% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $92,018 per year, or $44.2 per hour.

AI Optimization Engineer

Oxy

Houston, TX • On-site

Full-time

Re-posted 12 days ago


Job description

Job Summary:
Oxy is a company that produces, markets, and transports oil and natural gas, focusing on lower-carbon technologies. They are seeking an experienced AI Optimization Engineer to apply advanced optimization and AI techniques to improve decision systems within their Applied AI Center of Excellence.
Responsibilities:
• Apply advanced continuous and combinatorial optimization, control, artificial intelligence, machine learning, and algorithmic techniques to build, maintain, and improve on decision systems/processes.
• Collaborate with subject matter experts to select the relevant sources of information and formulate the right questions and problems.
• Identify what data is available and relevant, leveraging and creating data input and output pipelines and application programming interfaces (APIs).
• Provide feasible and real-life practical solutions, and demonstrate the scientific qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance, and fairness.
• Present and depict the rationale of findings in easy-to-understand terms for the business.
• Present back results that contradict common belief, if needed.
Qualifications:
Required:
• Master’s degree in Engineering, Applied Mathematics, or a related field.
• Strong knowledge of optimization methods, including dynamic, parametric, and non-parametric approaches
• Experience in dynamic and/or static system modeling.
• Experience designing and implementing advanced control techniques such as Model Predictive Control (MPC), and adaptive control.
• Knowledgeable in system identification and state estimation methods such as Kalman filtering and Moving Horizon Estimation (MHE)
• Knowledgeable in machine learning concepts and their application to modeling, optimization, or control problems
• Proficient in Python
• Experience with Git version control
• Possession of excellent oral and written communication skills.
• Effective team player who takes an active role in team responsibilities.
• Strong time management skills.
• Ability to work with minimum of supervision.
Preferred:
• Knowledge of the oil and gas industry.
• Familiarity with AWS or similar cloud platforms.
• Familiarity with Docker for containerization and Kubernetes for orchestration.
Company:
Oxy is an international energy company that produces, markets and transports oil and natural gas to maximize value and provide resources fundamental to life. Founded in 1920, the company is headquartered in Houston, USA, with a team of 10001+ employees. The company is currently Late Stage.

Oxy logo

About Oxy

Sourced by ZipRecruiter

For 100 years, Oxy has developed extensive assets, infrastructure, expertise and technology to fuel progress and improve lives around the world. Now we’re leveraging these resources to help solve the planet’s most pressing environmental challenges. We want to be part of the solution, so we're taking bold steps to innovate new technologies for a low-carbon future. Oxy produces energy and essential products to sustain and improve life on our planet. Our experienced teams, located in the United States, Middle East, Africa and Latin America, are committed to safe and efficient operations and products, and to reducing our carbon footprint and helping others do the same.

Industry

Oil and gas extraction

Company size

10,000+ Employees

Headquarters location

Houston, TX, US