Vertiv Logo

Vertiv

Automation Sr Engineer

Posted 2 Days Ago
Be an Early Applicant
In-Office
Austin, TX, USA
Senior level
In-Office
Austin, TX, USA
Senior level
Owns the STL automation and digital factory roadmap, identifying, evaluating, and scaling automation across machining, assembly, testing, material movement, and other manufacturing operations. Leads technology strategy, business cases, equipment selection, controls integration, commissioning, supplier engagement, factory connectivity, and deployment standardization. Partners with engineering, operations, quality, IT, facilities, supply chain, and leadership to improve safety, quality, productivity, labor efficiency, and scalability.
The summary above was generated by AI

Purpose

Own the automation, manufacturing technology, and digital factory roadmap for STL. Responsible for identifying, developing, implementing, and scaling automation solutions that improve safety, quality, productivity, and manufacturing performance while supporting future growth and operational scalability. Aligns automation strategy, manufacturing technology deployment, and production system integration. 

Near-Term Focus (Startup & Ramp)

  • Develop STL automation strategy and deployment roadmap.
  • Evaluate automation opportunities across machining, brazing, assembly, testing, and material movement.
  • Support automation equipment selection and supplier engagement.
  • Develop business cases and implementation plans for automation investments.
  • Define automation requirements for new production cells and manufacturing processes.
  • Support controls integration, system validation, and commissioning activities.
  • Partner with Manufacturing Engineering to ensure automation aligns with production flow and capacity requirements.
  • Support connected factory and digital manufacturing initiatives.
  • Establish automation standards and technology architecture for STL. 

Long-Term Focus (Technology & Automation Strategy)

  • Own long-term STL automation and manufacturing technology roadmap.
  • Lead future automation expansion projects.
  • Identify opportunities to improve productivity, quality, safety, and labor efficiency through automation.
  • Evaluate emerging manufacturing technologies, robotics, controls, vision systems, and digital manufacturing tools.
  • Develop automated material handling and factory connectivity strategies.
  • Standardize automation technologies and deployment methodologies.
  • Support replication of successful manufacturing technologies across future facilities when applicable.
  • Partner with Operations and Business leadership on technology investment strategies.
  • Ensure STL remains aligned with industry best practices and advanced manufacturing technologies. 

Qualifications

  • Strong knowledge of manufacturing automation technologies, robotics, controls systems, vision systems, and industrial networking.
  • Experience developing automation strategies, technology roadmaps, and manufacturing modernization initiatives.
  • Proven ability to identify, evaluate, and implement automation solutions that improve safety, quality, productivity, and labor efficiency.
  • Expertise in automation business case development, capital justification, and return-on-investment analysis.
  • Knowledge of automated material handling systems, AGVs/AMRs, conveyor systems, and warehouse automation technologies.
  • Experience with manufacturing controls architectures, PLC platforms, HMI systems, SCADA systems, and factory connectivity solutions.
  • Understanding of Industry 4.0 principles, connected factory technologies, IIoT platforms, and digital manufacturing systems.
  • Experience leading automation equipment selection, supplier evaluation, and system integration activities.
  • Knowledge of manufacturing system validation, commissioning, troubleshooting, and startup support processes.
  • Ability to define automation requirements for machining, assembly, brazing, testing, packaging, and material movement operations.
  • Experience standardizing automation technologies, deployment methodologies, and technical governance processes.
  • Strong analytical, problem-solving, and data-driven decision-making skills.
  • Demonstrated ability to lead cross-functional initiatives involving Manufacturing Engineering, Operations, Quality, Facilities, Information Technology, and Supply Chain teams.
  • Proficient in project management and execution of complex capital and technology deployment projects.
  • Excellent communication and stakeholder management skills, including interaction with suppliers, plant leadership, and executive teams.

Education

  • Bachelor's degree in Electrical Engineering, Automation Engineering, Mechatronics Engineering, Manufacturing Engineering, Robotics Engineering, or a related technical field; Master's degree preferred.
  • Minimum of 8-12+ years of experience in industrial automation, advanced manufacturing engineering, controls engineering, robotics, manufacturing technology deployment, or related disciplines.
  • Demonstrated experience developing and implementing automation solutions within manufacturing environments.
  • Experience leading automation equipment selection, controls integration, factory commissioning, and production startup activities.
  • Strong knowledge of industrial robotics, machine vision systems, motion control systems, safety systems, PLC programming platforms, and industrial communications networks.
  • Experience with Industry 4.0, connected factory initiatives, manufacturing data systems, MES integration, and digital manufacturing technologies.
  • Proficiency with automation system architecture, controls design review, electrical schematics, and automation project lifecycle management.
  • Experience developing automation business cases, capital project justifications, and technology investment roadmaps.
  • Knowledge of automated material handling systems, AGVs/AMRs, warehouse automation, and factory logistics technologies preferred.
  • Experience working with automation integrators, OEM suppliers, and cross-functional manufacturing teams on complex capital projects.
  • Lean Manufacturing, Six Sigma Green Belt/Black Belt, PMP, Certified Automation Professional (CAP), or equivalent professional certifications preferred.
  • Demonstrated success deploying scalable manufacturing technologies that improve productivity, quality, safety, and operational performance.
 
 
 
About Us

The successful candidate will embrace Vertiv’s Core Principles & Behaviors to help execute our Strategic Priorities.


OUR CORE PRINCIPLES: Safety. Integrity. Respect. Teamwork. Inclusion.


OUR STRATEGIC PRIORITIES

• High-Performance Culture

• Customer Focus

• Operational Excellence

• Innovation

• Financial Strength


VERTIV BEHAVIORS

• Own it

• Act with urgency

• Foster a customer-first mindset

• Think big and execute

• Lead by example

• Drive continuous improvement

• Learn and seek out development

• Promote transparent & open communication


About Vertiv

Vertiv (NYSE: VRT) brings together hardware, software, analytics and ongoing services to enable its customers’ vital applications to run continuously, perform optimally and grow with their business needs. Vertiv solves the most important challenges facing today’s data centers, communication networks, and commercial and industrial facilities with a portfolio of power, cooling and IT infrastructure solutions and services that extend from the cloud to the edge of the network. Headquartered in Westerville, Ohio, USA, Vertiv employs around 34,000 people and does business in more than 130 countries. Visit Vertiv.com to learn more.


Work Authorization

No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.


Equal Opportunity Employer

Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email to [email protected]

Similar Jobs

2 Days Ago
Easy Apply
Hybrid
Austin, TX, USA
Easy Apply
Senior level
Senior level
Artificial Intelligence • Cloud • Security • Software
Lead the architecture and development of Sonar’s marketing technology infrastructure. Design scalable marketing data models, SQL and ETL pipelines, custom SFMC code, personalization logic, landing pages, and API integrations. Maintain data hygiene, platform security, privacy compliance, automation performance, deliverability, and system uptime. Partner with data, DevOps, and security teams while evaluating AI-driven marketing technologies and next-generation platforms.
Top Skills: AmpscriptAutomation StudioBigQueryCloudpagesContact BuilderDkimDmarcJavaScriptJourney BuilderJSONMarketing Cloud NextNode.jsOauth 2.0PostmanPythonRest ApisSalesforce Data CloudSalesforce Marketing CloudServer-Side JavascriptSnowflakeSoap ApisSpfSQLWebhooksWsproxyXML
21 Days Ago
Hybrid
Austin, TX, USA
Senior level
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Develop and deploy robotics software solutions for manufacturing, including machine learning, deep learning, computer vision, simulation, and real-time applications. The role involves designing prototypes, building and testing robotic cells, streamlining robotics engineering processes, integrating systems at scale, and collaborating with manufacturing engineering teams. Travel to GM facilities in the U.S. and Mexico is required up to 25% of the time.
Top Skills: BashCC#C++Computer VisionData VisualizationDeep LearningDockerGoHpcJavaKerasKubernetesLinuxMachine LearningMoveitOpenglPythonPyTorchReal-Time SystemsRosSimulationSQLTensorFlow
Yesterday
In-Office
Senior level
Senior level
Fintech
Lead development of AWS-based security platforms that orchestrate SAST, SCA, container, and API security scanning across enterprise pipelines. Build AI-enabled application security capabilities, including agentic vulnerability analysis, remediation recommendations, validation, and quality measurement. Design APIs, event-driven services, automation, and CI/CD integrations while improving platform reliability, observability, and scalability. Provide technical leadership, mentorship, and strategic direction across DevSecOps, application security, cloud, and AI initiatives.
Top Skills: Amazon BedrockApi Security ScanningAPIsAWSCi/CdCloudFormationContainer ScanningEcsIamJfrog XrayLambdaLarge Language ModelsNode.jsPythonRdsS3SastScaSnykStep FunctionsTypescriptWiz

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account