Praxair, Inc., a Fortune 250 company with 2013 sales of $12 billion, is
the largest industrial gases company in North and South America and one of
the largest worldwide. The company produces, sells and distributes
atmospheric, process and specialty gases, and high-performance surface
coatings. Praxair products, services and technologies are making our
planet more productive by bringing efficiency and environmental benefits
to a wide variety of industries, including aerospace, chemicals, food and
beverage, electronics, energy, healthcare, manufacturing, metals and many
Career Opportunity!!! Open for relocation? Or looking for a great
employment opportunity? The Global HyCO business unit within Praxair, Inc.
is seeking to recruit a committed, confident, friendly candidate to join
our Advanced Process Controls group in The Woodlands, TX. Praxair, Inc.
offers a competitive rate, pension, 401k and much more!
Please note you must HAVE 5+ years of experience in advanced process
control and real time optimization, with a formal education in process
systems engineering or chemical engineering.
Description: Primarily responsible for applying chemical engineering,
system optimization, statistical and control principles in designing and
implementing advanced process control (APC) and real time optimization
(RTO) applications. Specifically, this will entail conceptualizing,
defining, designing, simulating, commissioning and supporting APC aspects
of Hydrogen/Carbon Monoxide (HyCO) plant operations. . Candidate will pro-
actively monitor different HyCO plants on a day to day basis to identify
operational gaps and opportunities for efficiency improvement. Areas of
involvement will include process modeling and dynamic analysis, state-of-
the-art model predictive control, plant-wide control, real time
optimization and performance monitoring of plant production efficiency.
This challenging position requires project-specific deliverables on a
quarterly cycle. Will be responsible for project design decisions and
delivering results quickly while meeting performance, schedule and budget
constraints. Candidate must have excellent people skills and is expected
to coordinate with multiple organizations in Praxair such as operations,
engineering, R&D, business development, etc.
Reporting Relationships: Reports to an Engineering Manager or Team Leader.
Position has no direct reports.
*5+ years of experience in advanced process control and real time
optimization, with a formal education in process systems engineering or
chemical engineering (B.S., M.S. or Ph.D)
*Functional and working knowledge of model-based advanced (multivariable)
process control & optimization theory. Proficient in
designing/implementing/maintaining Advanced Process Control (APC)
applications, especially Model Predictive Control (MPC) applications
(AspenTechís DMCplus, Aspen Watch, Emersonís PredictPro) and RTO
*Plant operating or new plant start-up experience - i.e. functional
process knowledge. Broad process, operations, and controls experiences of
industrial sites such as fossil fuel power plants, air quality control
systems, H2 & CO plants
*Proficient in regulatory process controls for industrial boilers, H2 & CO
plants, familiar with Emerson's DeltaV DCS, GE's IFIX software suite.
*Familiarity with plant instrumentation systems, primary control loop
tuning, safety and work procedures in a plant environment and statistical
principles for use in plant data analysis.
*Working knowledge of steady-state and dynamic process analysis using off-
line process simulation tools and computer control optimization techniques
*Experience using various programming languages, e.g. FORTRAN, Visual
Basic, C, C++
*Ability to work on multiple projects at a time is desired. 25% domestic
and international travel is typical.
Interested candidates may apply at www.praxair.com/careers or by sending
your resumes to [log in to unmask]
Where your talent makes an impact! All qualified applicants will receive
consideration for employment without regard to race, color, religion, sex,
sexual orientation, gender