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Siemens Energy Automation Jobs (NOW HIRING)

... Siemens Energy locations to share knowledge, best practices, and effective controlling processes. * Actively identify and implement process improvements using digitalization, automation, and process ...

... automation * Collaborate cross-functionally with operations, engineering, procurement, IT, and ... Siemens Energy employees with current visa sponsorship may be eligible for internal transfers.

... automation initiatives, training end users, and promoting the adoption of digital solutions to ... Siemens Energy employees with current visa sponsorship may be eligible for internal transfers.

Senior Accountant

Orlando, FL · On-site

$69K - $86K/yr

... through automation and digital solutions. This role requires a proactive professional who can ... At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated ...

A Snapshot of Your Day As a Manufacturing Manager with Siemens Energy, you guide and lead a diverse ... Drive improvements in operational efficiency by reducing work content and implementing automation ...

Senior Accountant

Orlando, FL · On-site

$69K - $86K/yr

... on automation and digital tools to join our team. The ideal candidate will have a deep ... Siemens Energy employees with current visa sponsorship may be eligible for internal transfers.

Showing results 21-40

Siemens Energy Automation information

See salary details

$37K

$107.1K

$163K

How much do siemens energy automation jobs pay per year?

As of Sep 8, 2026, the average yearly pay for siemens energy automation in the United States is $107,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $123,500.00 per year, depending on experience, location, and employer.

What is Siemens Energy Automation?

Siemens Energy Automation refers to the range of solutions and technologies provided by Siemens to automate and optimize the generation, transmission, and distribution of electrical energy. These systems include hardware and software for monitoring, controlling, and protecting power grids and industrial energy systems, helping utilities and industries improve efficiency, reliability, and sustainability. Siemens Energy Automation encompasses products like protection relays, SCADA systems, substation automation, and smart grid technologies. The goal is to enable smarter, more resilient energy infrastructure in response to increasing demands and renewable integration.

What are the key skills and qualifications needed to thrive in a Siemens Energy Automation role?

To excel in a Siemens Energy Automation role, you typically need a background in electrical engineering, automation, or a related field, along with experience in power systems and industrial automation. Familiarity with Siemens software platforms like SIMATIC, PCS 7, and SCADA systems, as well as relevant certifications such as Siemens Certified Professional, are highly valued. Strong problem-solving, project management, and communication skills help professionals collaborate effectively and address complex technical challenges. These competencies ensure successful implementation of automation solutions, operational efficiency, and reliable energy management.

What are some common challenges faced by professionals working in Siemens Energy Automation, and how can they be addressed?

Professionals in Siemens Energy Automation often encounter challenges such as adapting to rapidly evolving technology, integrating legacy systems with new automation solutions, and ensuring compliance with industry safety standards. These challenges can be addressed through continuous learning, staying updated with Siemens' latest software and hardware releases, and collaborating closely with cross-functional teams including IT, engineering, and field technicians. Regular training sessions and leveraging Siemens' global knowledge network can also help professionals stay ahead and effectively troubleshoot complex automation issues.

What is the difference between Siemens Energy Automation vs Siemens Energy Control Systems Engineer?

AspectSiemens Energy AutomationSiemens Energy Control Systems Engineer
CredentialsRelevant engineering degrees, certifications in automation and control systemsSame as Energy Automation, often with additional certifications in control system design
Work EnvironmentIndustrial plants, power generation facilities, automation project sitesDesign offices, project sites, commissioning environments
Employer & Industry UsagePower, energy, manufacturing sectors using Siemens automation solutionsPower plants, energy companies, automation service providers

Siemens Energy Automation professionals focus on implementing and maintaining automation systems across energy facilities, while Siemens Energy Control Systems Engineers typically design and optimize control systems for these environments. Both roles require similar credentials and often work within the same industry sectors, but their core responsibilities differ in scope and focus.

More about Siemens Energy Automation jobs

What job categories do people searching Siemens Energy Automation jobs look for?

The top searched job categories for Siemens Energy Automation jobs are:

Infographic showing various Siemens Energy Automation job openings in the United States as of August 2026, with employment types broken down into 78% Full Time, 21% Part Time, and 1% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $107,126 per year, or $51.5 per hour.

Manufacturing Engineer - Automation & Digitalization-Gibsonton, Florida

Siemens Energy, Inc.

Ruskin, FL

$78K - $100K/yr

Full-time

Medical, Retirement, PTO

Posted 17 days ago


Siemens Energy rating

8.3

Company rating: 8.3 out of 10

Based on 88 frontline employees who took The Breakroom Quiz

121st of 499 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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