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Real Time Optimization Engineer Jobs in Texas (NOW HIRING)

The Company is not able to take over sponsorship of an employment visa at this time for this ... Develop reports to evaluate real-world performance of trained models * Other projects as assigned

The Company is not able to take over sponsorship of an employment visa at this time for this ... Develop reports to evaluate real-world performance of trained models * Other projects as assigned

We are looking for an Optimization Engineer located in Midland, TX . This is your opportunity to ... Prior experience that demonstrates strong ethics, effective time management, ability to multitask ...

... real-life practical solutions, and demonstrate the scientific qualities: clarity, accuracy ... responsibilities. • Strong time management skills. • Ability to work with minimum of ...

We are looking for an Optimization Engineer located in Midland, TX . This is your opportunity to ... Prior experience that demonstrates strong ethics, effective time management, ability to multitask ...

... ensures optimal performance and accurate, data-driven decision making within the organization ... Provide real time engineering and troubleshooting of equipment operating in-field with Field ...

Remotely provide engineering support to end-users: * Review field rig drawings and ensure ... Generate and ensure quality test plans that are optimized and compliant * Support all types of ...

Provide feasible and real-life practical solutions, and demonstrate the scientific qualities ... Strong time management skills. * Ability to work with minimum of supervision. Additional ...

Provide feasible and real-life practical solutions, and demonstrate the scientific qualities ... Strong time management skills. * Ability to work with minimum of supervision. Additional ...

Strong software engineering background and experience with ML-based modeling, time-series ... Experience applying classical optimization techniques to real-world systems or infrastructure ...

New

Under the guidance of Process Optimization Manager, support the day-to-day production activities to ... Perform engineering analysis to reduce waste and down time. Support plant HSE initiatives and ...

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Real Time Optimization Engineer information

What is the difference between Real Time Optimization Engineer vs Data Analyst?

AspectReal Time Optimization EngineerData Analyst
CredentialsBachelor's in Engineering, Computer Science, or related fields; certifications in optimization or data analysisBachelor's in Statistics, Mathematics, or related fields; certifications in data analysis tools
Work EnvironmentTech companies, manufacturing, energy, or telecom industries focusing on real-time systemsBusiness, finance, marketing, or healthcare sectors analyzing data trends
Employer & Industry UsageUsed in industries requiring real-time decision making and system optimizationUsed across various industries for data interpretation and reporting

While both roles involve data and analytical skills, a Real Time Optimization Engineer focuses on developing and maintaining systems that optimize processes in real-time, whereas a Data Analyst interprets historical data to inform business decisions.

What are the key skills and qualifications needed to thrive as a Real Time Optimization Engineer, and why are they important?

To thrive as a Real Time Optimization Engineer, you need a strong background in chemical or process engineering, data analytics, and process control, often supported by a relevant engineering degree. Proficiency with industrial automation systems, distributed control systems (DCS), and optimization software like AspenTech or Honeywell is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork and communication skills help you excel in this role. These skills are crucial for maximizing process efficiency, reducing operational costs, and ensuring safe, reliable plant performance in real-time environments.

What are some common challenges faced by Real Time Optimization Engineers in managing process efficiency?

Real Time Optimization Engineers often encounter challenges such as rapidly changing process conditions, integrating data from various sources, and ensuring the optimization models remain accurate and relevant. They must respond quickly to process disturbances and work closely with operations teams to implement real-time adjustments. Effective communication and ongoing model validation are crucial for maintaining process efficiency and maximizing throughput while minimizing costs.

What is a Real Time Optimization Engineer?

A Real Time Optimization (RTO) Engineer is a professional who designs, implements, and maintains systems that optimize industrial processes in real-time, often in sectors like oil & gas, petrochemicals, or manufacturing. They use advanced software, data analytics, and automation to improve efficiency, reduce costs, and maintain product quality. RTO Engineers work closely with operations teams to ensure process variables are adjusted automatically and optimally as conditions change. Their work typically involves process modeling, control systems, and ongoing performance monitoring. This role requires strong skills in engineering, programming, and process control.
Optimization Engineer

Optimization Engineer

Tenaska

Irving, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Job description

Tenaska is one of the largest privately held companies in the United States, an organization that's adept in natural gas and power marketing, power management, development and acquisition of generation assets, operation of power plants and more.
Applicants must be authorized to work for any employer in the U.S. The Company is not able to take over sponsorship of an employment visa at this time for this position or commit to doing so in the future for individuals with current authorization to work via, for example, CPT or OPT, and would need sponsorship in the future.
Position Summary:
The Optimization Engineer will support the development of new and existing optimization and forecasting algorithms and related technologies.
Essential Job Functions:
  • Work with Vice President, Strategic Technology and team to design, implement and improve optimization technologies around various energy-related problems.
  • Support research and development of new optimization algorithms and implementations when required to solve specific business problems
  • Develop necessary software for optimization and prediction models.
  • Design and build necessary systems for simulation and back-testing of optimization and prediction models
  • Develop reports to evaluate real-world performance of trained models
  • Other projects as assigned
  • Dependable, reliable, and predictable attendance is required

Knowledge, Skill, and Abilities:
  • Applicants must be authorized to work for any employer in the U.S. The Company is not able to take over sponsorship of an employment visa at this time for this position or commit to doing so in the future for individuals with current authorization to work via, for example, CPT or OPT, and would need sponsorship in the future.
  • Undergraduate degree in Physics, Mathematics, Engineering or related fields and graduate degree or equivalent professional experience in Operations Research, Electrical Engineering or related field with strong computer science training and experience.
  • Advanced-level experience with optimization tools such as CPlex, HiGHS and Gurobi.
  • Strong skills in applied computational mathematics, optimization, and simulation programming.
  • Experience with commercial and open-source power system modelling software such as Pandapower, PowerModels.jl, ETAP, PowerWorld, Plexos, etc. preferred but not required.
  • Strong experience with programming in Python with a focus on Data Science and Optimization.
  • Experience with cloud deployment, orchestration and operations of optimization models.
  • Strong background in Deep Learning algorithms as applied to optimization and control problems with specific experience in Reinforcement Learning and other training methods.
  • Experience with machine learning libraries and algorithms such as PyTorch.
  • Experience with machine learning data preparation concepts (cross validation, folding, boosting, feature engineering) with clear understanding of time series related concerns.
  • Able to quickly learn necessary skills and information to be effective in position where necessary.
  • Curious, inquisitive, creative, exploration-driven, and self-motivated with a passion for applied Machine Learning and optimization.

Benefits:
At Tenaska we care about the wellbeing of our employees and their families. That's why we offer our employees a comprehensive benefit package. Benefits included below:
  • Health, dental, vison, disability, and life insurance
  • Excellent 401(k) plan
  • Incentive-based, competitive salary packages
  • Health/dependent care flex accounts
  • Tuition assistance
  • Long-term disability coverage
  • Adoption benefits
  • Employee assistance program
  • Paid vacations and holidays
  • Charitable giving program
  • Paid maternity/paternity leave
  • Wellness programs

Tenaska is an equal opportunity employer.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.