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Manufacturing Automation Engineer Jobs in Florida

As Coke Florida's Automation Engineer, you will lead the strategy, design and execution of automation initiatives across Coke Florida's manufacturing and distribution network. This role owns the full ...

We're looking for a hands-on, solutions-driven Automation Engineer to play a critical role in advancing our manufacturing capabilities and supporting our rapid growth. If you thrive in a dynamic ...

We're looking for a hands-on, solutions-driven Automation Engineer to play a critical role in advancing our manufacturing capabilities and supporting our rapid growth. If you thrive in a dynamic ...

We're looking for a hands-on, solutions-driven Automation Engineer to play a critical role in advancing our manufacturing capabilities and supporting our rapid growth. If you thrive in a dynamic ...

We're looking for a hands-on, solutions-driven Automation Engineer to play a critical role in advancing our manufacturing capabilities and supporting our rapid growth. If you thrive in a dynamic ...

We're looking for a hands-on, solutions-driven Automation Engineer to play a critical role in advancing our manufacturing capabilities and supporting our rapid growth. If you thrive in a dynamic ...

We're looking for a hands-on, solutions-driven Automation Engineer to play a critical role in advancing our manufacturing capabilities and supporting our rapid growth. If you thrive in a dynamic ...

We're looking for a hands-on, solutions-driven Automation Engineer to play a critical role in advancing our manufacturing capabilities and supporting our rapid growth. If you thrive in a dynamic ...

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Showing results 1-20

Manufacturing Automation Engineer information

See Florida salary details

$34.4K

$75.1K

$102K

How much do manufacturing automation engineer jobs pay per year?

As of Jul 5, 2026, the average yearly pay for manufacturing automation engineer in Florida is $75,071.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $82,900.00 per year, depending on experience, location, and employer.

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

AspectManufacturing Automation EngineerManufacturing Process Engineer
Primary FocusDesigning and implementing automation systemsOptimizing manufacturing processes and workflows
Skills & CertificationsPLC programming, robotics, control systems, certifications like FANUC or SiemensProcess analysis, Lean manufacturing, Six Sigma certifications
Work EnvironmentFactories with automation equipment, robotics labsProduction lines, process development areas
Industry UsageAutomotive, electronics, consumer goods manufacturingPharmaceuticals, food production, general manufacturing

While both roles aim to improve manufacturing efficiency, Manufacturing Automation Engineers focus on automating production through robotics and control systems, whereas Manufacturing Process Engineers optimize overall processes for better quality and efficiency.

What are some common challenges a Manufacturing Automation Engineer faces when introducing new technologies to existing production lines?

A Manufacturing Automation Engineer often encounters challenges such as integrating new automation systems with legacy equipment, ensuring minimal downtime during installation, and training staff to adapt to updated processes. Managing resistance to change among operators and coordinating with cross-functional teams, such as maintenance and IT, are also frequent hurdles. Successful engineers proactively communicate with stakeholders and prioritize thorough testing to ensure a smooth transition and ongoing productivity.

What are the key skills and qualifications needed to thrive as a Manufacturing Automation Engineer, and why are they important?

To thrive as a Manufacturing Automation Engineer, you need a strong background in engineering principles, robotics, control systems, and industrial automation, typically supported by a degree in electrical, mechanical, or industrial engineering. Familiarity with PLC programming, SCADA systems, CAD software, and certifications such as Six Sigma or Lean Manufacturing are highly valuable. Problem-solving abilities, attention to detail, and effective teamwork and communication skills are crucial soft skills for this role. These competencies enable engineers to design efficient automated systems, troubleshoot complex issues, and drive continuous improvements in manufacturing processes.

What does a Manufacturing Automation Engineer do?

A Manufacturing Automation Engineer designs, develops, and implements automated systems and processes within manufacturing facilities to increase efficiency, safety, and product quality. They work with robotics, control systems, and computer-aided technologies to optimize production processes. Their responsibilities often include programming automation equipment, troubleshooting system issues, and collaborating with other engineers and technicians to ensure smooth operation of automated manufacturing lines.
Infographic showing various Manufacturing Automation Engineer job openings in Florida as of June 2026, with employment types broken down into 88% Full Time, 6% Part Time, 3% Contract, and 3% Nights. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $75,071 per year, or $36.1 per hour.
Manufacturing Engineer - Automation & Digitalization

Manufacturing Engineer - Automation & Digitalization

Siemens Energy, Inc.

Gibsonton, FL • On-site

$73K - $94K/yr

Full-time

Medical, Retirement, PTO

Posted 27 days ago


Siemens Energy rating

8.2

Company rating: 8.2 out of 10

Based on 84 frontline employees who took The Breakroom Quiz

99th of 421 rated machine equipment manufacturers


Job description

A Snapshot of Your Day
As a Manufacturing Engineer - Automation & Digitalization at Siemens Energy, you'll support the BVT (Blades & Vanes) Expansion project within the Operations Tampa manufacturing facility. The primary business objective is to leverage advanced automation and artificial intelligence to enhance operational efficiency, increase productivity, and support the growth of the manufacturing capabilities. To achieve these goals, this role will concentrate on three core areas: the development and deployment of AI and machine learning solutions tailored for manufacturing processes, the design and implementation of robust automation workflows, and the management of the underlying data infrastructure required to support these systems. This focus ensures that digitalization efforts are directly applied to tangible operational improvements, from quality control to predictive maintenance. Given the focus on applying advanced technology in an industrial setting, the ideal candidate will possess significant experience in AI/ML engineering combined with a strong understanding of manufacturing environments. Key requirements include advanced proficiency in programming and data management, experience with ML frameworks, and a proven ability to independently manage complex technical projects from conception to integration.
How You'll Make an Impact
  • Design, develop, and deploy machine learning models for manufacturing applications, including predictive maintenance, process optimization, and quality control.
  • Apply computer vision techniques to automate visual inspection tasks and enhance defect detection accuracy on the production line.
  • Train, validate, and optimize AI models using data sourced from manufacturing equipment and operational systems.
  • Research and implement advanced AI/ML methodologies, such as deep learning and generative AI, to address complex manufacturing challenges.
  • Analyze existing manufacturing workflows to identify and prioritize opportunities for digitalization and automation.
  • Develop and implement automation scripts and solutions to streamline repetitive tasks and improve operational throughput.
  • Integrate AI/ML models and digital tools into production systems, MES platforms, and equipment using APIs and other integration technologies.
  • Manage automation project lifecycles from requirements gathering through deployment and post-implementation support.
  • Build and maintain scalable data pipelines for collecting, cleaning, and processing high-volume industrial data.
  • Implement MLOps practices to establish CI/CD pipelines for machine learning models, ensuring reliable deployment and monitoring.
  • Ensure data governance, quality, and integrity for all datasets used in AI training and operational analytics.
  • Collaborate with IT and OT teams to manage both cloud and on-premise infrastructure supporting AI development and deployment.
What You Bring
  • Bachelor's degree or higher in Computer Science, Engineering, Data Science, or a related technical field.
  • 5+ years of professional experience in developing and implementing AI, machine learning, or automation solutions.
  • Demonstrated experience applying AI/ML in an industrial, manufacturing, or operational technology (OT) environment is highly preferred.
  • Proficiency in machine learning, deep learning, computer vision, and familiarity with emerging generative AI approaches.
  • Strong technical capabilities in Python, SQL, automation, software engineering concepts, and integrating applications through APIs.
  • Demonstrated analytical, troubleshooting, and collaborative skills to support complex technical problem-solving in cross-functional environments.
  • Candidates with more experience can be considered for a higher level or vice versa.
  • Applicants must be legally authorized for employment in the United States without the need for current or future employer-sponsored work authorization. Siemens Energy employees with current visa sponsorship may be eligible for internal transfers.
  • This position will require an export license from the Department of Commerce, Bureau of Industry and Security and/or the Department of State, Directorate of Defense Trade Controls. Issuance of any required license is a prerequisite for this position. The candidate must be able to work with export-controlled technology in accordance with US export control law.
About the Team
Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet.
Who is Siemens Energy?
At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation. Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo
Rewards
  • Career growth and development opportunities
  • Supportive work culture
  • Company paid Health and wellness benefits
  • Paid Time Off and paid holidays
  • 401K savings plan with company match
  • Family building benefits
  • Parental leave
Jobs & Careers: https://jobs.siemens-energy.com/jobs
Equal Employment Opportunity Statement
Siemens Energy and Siemens Gamesa Renewable Energy is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
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