Rockwell Automation is a global technology leader focused on helping the world's manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better.

We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that's you we would love to have you join us!

Job Description

Kalypso, a Rockwell Automation Business, is a professional services firm dedicated to helping clients discover, create, make, and sell better products with digital. We believe that innovation across the value chain is the single most important factor for long-term growth and success.

Kalypsonians are passionate about their work and committed to helping clients become more innovative, competitive, and productive. The Kalypso team consists of diverse industry and technical experts with proven experience delivering results. Our people are recognized business, industry, and technical thought leaders with a passion for innovation.

As a provider of professional services, our people are the key to success. We are looking for the absolute best to join our world-class team. We want balanced individuals who are willing to go the extra mile to deliver the results our clients expect. At the same time, we are looking for Characters with Character who complement their expertise and intelligence with personality and integrity.

If you think you have what it takes, but don't meet every single point on the job description below, please still apply. We'd rather have a chat and see if you could be a great fit than never meet at all.

Kalypso is seeking exceptional candidates who are looking for an exciting career as an ADVANCED PROCESS CONTROL ENGINEER.

As an Advanced Process Control Engineer, you will be at the heart of custom application delivery teams that use Rockwell Automation's advanced analytics and model predictive control products to create online applications that improve our customer's manufacturing processes. You will assess the customer's processes, develop mathematical models that can be used to predict system behavior and configure online applications that use this knowledge to calculate process setpoints that dynamically control product quality, production capacity and energy usage. As part of our Kalypso industrial data science consulting team, you will be responsible for the full technical implementation of the projects assigned to you from preliminary design through the completion of commissioning and customer acceptance. You will cover all aspects of the technical implementation including supporting hardware installation and system integration.

Location: Mexico, remote

Responsibilities:

• Delivery
  • Perform technical project activities (design, system integration and installation, data analysis and modeling, application development, site installation, commissioning etc.) as assigned.
  • Identify technical issues that impact project performance (scope creep, delays, requested change orders, etc.)
  • Provide information related to project cost performance against plan, any performance guarantee status, etc.
  • Support the documentation of best practices for use in the development of applications.

• Support
  • Provide product, engineering, and application support to existing customers.
  • Perform periodic system and application health checks, performance analyses and develop reports to document findings and recommendations.
  • Follow up on recommendations to sustain and maximize the value our applications deliver to our customers.

• Sales
  • Support market development activities for industrial data science.
  • Participate in commercial activities for specific projects as needed.
  • Identify change orders and new opportunities within client projects.

• Management
  • Request/undertake professional development as required to remain billable/cost effective.
  • Support the project staffing process to maximize overall practice margins.

• Example Metrics
  • Meet or exceed client expectations as measured by surveys and verbal feedback.
  • Delivery projects on time, within budget and per agreed scope.
  • Maintain or improve project or contract margin.
  • Maintain billable utilization at or above target.
  • Maintain or achieve relevant industry certifications.

Basic Qualifications:

• 5 or more years of experience implementing model predictive control applications.
• 2 or more years of experience as a process or control engineer in a manufacturing environment.
• Bachelor's or equivalent degree in chemical engineering or other engineering with heavy process modeling, statistics, or process control focus.
• Strong interest in automation, process control and advanced model-predictive applications.
• Self-motivated with excellent interpersonal, communication and organizational skills.
• Fluent in English: reading, writing, and speaking.
• Exposure to instrumentation, industrial control systems and supervisory control applications.
• Familiarity with DCS (SCADA, HMI, etc.) and/or PLC configuration.
• Must be willing and able to travel up to 50% of the time, typically 1- or 2-week trips. Occasional international projects are likely.
• Must be willing and able to comply with customer safety & health requirements including submitting to and passing drug tests, safety training, etc.

Preferred Qualifications:

• 2-5 years of experience as a process or control engineer in a manufacturing environment.
• An advanced degree in chemical engineering or other engineering with heavy modeling, statistics, or process control focus
• Experience developing business cases for advanced process control or analytics.
• Experience with industrial computing, networking, cybersecurity, OPC and/or SQL.
• Experience with DCS (SCADA, HMI, etc.) and/or PLC configuration, especially in the context of integration with external applications.
• Familiarity with predictive emissions monitoring systems.