ExxonMobil Veterans

Job Information

ExxonMobil Advanced Process Control Applications and Optimization Engineer in Spring, Texas

Job Role Summary

Join a multidisciplinary team of applications engineers who leverage new technologies & tools to push the boundaries of existing capabilities and develop the next generation of automation solutions. Process Control and Optimization Engineers contribute to the design, implementation, and sustainment of the advanced automation systems that enable our production and manufacturing facilities to run safely, profitably, and, one day, autonomously. These applied research and project execution-focused assignments will expose the candidates to the real-life challenges associated with the design and implementation of innovative advanced control, automation, modeling, and real-time optimization solutions for large, complex processes. The job role is in the ExxonMobil Research and Engineering organization, which provides technical expertise to existing facilities and new project development across the globe and drives continuous improvement and advancement of our control, automation, and optimization technologies. Technical leadership and mentoring are key facets of the job.

Job Role Responsibilities

  • Join and contribute to the efforts of a highly driven team of application engineers in search of a path towards autonomous operation of ExxonMobil's production and manufacturing facilities

  • Provide engineering support for our world-wide affiliates (Upstream, Downstream, Chemicals and Low Carbon Solutions) to develop, deploy, and sustain our process control and optimization technologies

  • Aspects of the role may include supporting the installation, commissioning, and operation of grassroots or revamped facilities, as well as assistance to site turnarounds and startup / shutdown events

  • Support technologies ranging from basic regulatory control, state-based and sequential control, human-machine interfaces, abnormal event detection and operator advisory, to dynamic and steady-state simulation, linear and nonlinear model predictive control (MPC), and real time optimization (RTO)

  • Work closely with manufacturing site personnel, process engineering, and the business stakeholders to identify opportunities and define scope, cost, benefits, and project schedule for both new and revamped applications

  • Support research and development activities to advance the tools and technology effectiveness including the use of modern techniques such as machine learning and artificial intelligence; interface with other R&D organizations within the Company to identify opportunities and pilot and deploy new technologies

  • Work collaboratively with vendors and suppliers to ensure appropriate design, manufacture, testing, and delivery of software; engage with industry and academia for broader awareness of emerging trends and to influence research and product development

  • Provide active technical leadership through mentoring, proactively sharing technical knowledge, influencing across organizational boundaries, implementing improvements, and delivering value capture

Expected Level of Proficiency

  • BS degree in Chemical Engineering is preferred, MS or PhD degree is an advantage, a degree from another engineering or computational data science discipline is acceptable if the applicant can demonstrate a solid understanding of process control principles and unit operations

  • Greater than 3 years of practical experience designing and implementing effective control, automation, abnormal event detection, modeling and/or optimization applications in support of refining, petrochemical, and/or upstream production and manufacturing facilities through experiences including monitoring, troubleshooting, asset support, projects and turnarounds

  • Demonstrated understanding of fundamental chemical engineering principles, process dynamics and feedback control in a plant with continuous and/or batch operations; a basic understanding of instrumentation, measurements, analyzers and other sensors, including soft sensors / inferred properties

  • Demonstrated capability with at least one industrial DCS (Experion PKS / TDC3000, Centum VP, DeltaV, System 800xA, SIMATIC PCS 7, PlantPAx, etc.) or SCADA (Ignition, OASyS / IRIS, etc.) platform

  • Demonstrated capability with at least one other software platform used for advanced control, simulation, modeling or optimization. Examples include: multivariable model predictive control (AspenTech DMC, Honeywell Profit Controller, Rockwell Automation Pavilion8, or equivalent), steady-state simulation (PRO-II, AspenPlus), dynamic simulation (AVEVA DynSim, Honeywell UniSim, AspenTech HYSYS), real-time optimization (AVEVA ROMeo), or software used for open equation modeling or non-linear programming / control (gPROMS)

  • Demonstrated skills in legacy and modern programming languages (Visual Basic, Matlab, Python, SQL, etc.) and/or data analytics and visualization tools (SeeQ, JMP, Tableau, PowerBI) is beneficial

  • In addition to strong technical background in advanced process control and optimization, successful candidates will demonstrate innovative thinking, strong initiative, and exemplary communication skills with the ability to interact effectively with peers, across organizational boundaries, and in diverse and globally dispersed teams

  • Demonstrated ability to handle multiple priorities and stakeholders and be able to influence and promote change to achieve desired results with no direct authority

  • Demonstrated sound business judgment and ability to incorporate the "big picture" into strategy development and drive creative, fit-for-purpose solutions to advance the discovery, deployment and sustainment of control, automation and optimization technologies

  • Demonstrated ability as a formal or informal leader and mentor

  • Willingness to travel domestically or internationally as needed (between 5-40%)

Alternate Location:

ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.