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Ai Process Engineer

Dallas,TX

1236 Ai Process Engineer jobs in Dallas,TX

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Wet Process Manufacturing Engineer (DMOS6)

Texas Instruments

Dallas, TX 75243

Onsite

  • Bachelor's degree in Chemical Engineering, Chemistry, Electrical Engineering, Materials Science Engineering, Mechanical Engineering, Physics, or a related field
  • 2 years experience as a Semiconductor Process Engineer within Wet Process, Wet Etch, or Cleans
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Metal Field Services Technician

GoEngineer

Dallas, TX 75201

OnsiteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Experience with metal additive manufacturing required.
  • Experience with laser powder bed fusion technology strongly preferred.
  • Field service, industrial equipment maintenance, or OEM experience preferred.
  • Knowledge of industrial lasers, motion systems, and electro-mechanical equipment.
  • Strong troubleshooting and problem-solving abilities.
  • Ability to read technical documentation, schematics, and engineering instructions.
  • Strong communication and customer service skills.
  • Ability to work independently and manage a travel-intensive schedule.
  • Valid driver's license and passport.
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Manufacturing Engineer, Factory Development

Hadrian

Dallas, TX 75217

OnsiteHealth InsuranceRetirement Benefit

  • Bachelor's degree in Engineering, or a relevant STEM field.
  • In lieu of a degree, at least 5 years of leadership experience in a high-intensity production environment may be considered.
  • Hands-on manufacturing experience, with a strong preference for those who have led meaningful projects.
  • Experience in developing and implementing production processes/systems in a high-growth environment.
  • Proven track record of project execution in a manufacturing setting.
  • Demonstrated proficiency in solving deep technical or operations problems.
  • Ability for occasional travel up to 35% of the time.
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Manager, SAP AI & Agent Governance

KPMG

Dallas, TX 75217

OnsiteHealth InsuranceRetirement Benefit

  • Minimum five years of recent experience in SAP functional consulting, SAP business process transformation, S/4HANA programs, intelligent automation, AI-enabled transformation, enterprise architecture, identity, security, controls, or related technology initiatives
  • Bachelor'sdegree in business, information systems, engineering, technology, or relatedfield preferred; or minimum of a high school diploma or GED required plus sevenyears of relevant SAP implementation experience
  • Strong hands-on understanding of one or more SAP business process areas such as Finance/Controlling, Procure-to-Pay, Order-to-Cash, Supply Chain, Manufacturing, Asset Management, or Human Capital Management, including SAP processes, transactions, master data, workflow, integrations, and business requirements
  • Experience with AI, intelligent automation, SAP BTP, SAP Build, workflow, APIs, integration platforms, copilots, AI agents, or other emerging automation technologies is strongly preferred
  • Understanding of identity and authorization concepts including least privilege, role-based access, delegated authority, segregation of duties, privileged access, identity lifecycle management, and related governance controls
  • Strong ability to translate business process requirements into practical AI, automation, governance, risk, and control solutions; project or team leadership experience within consulting or professional services is preferred
  • Excellent written and verbal communication, facilitation, and presentation skills with the ability to work effectively with senior business and technology leaders
  • Travel could be as high as 80% at times
  • Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
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Manufacturing Engineer Stf - Capital Projects

Lockheed Martin Corporation

Arlington, TX 76010

~ 36 min OnsiteFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Mechanical, Industrial, or Manufacturing Engineering (or related field).
  • Demonstrated ability to lead multi-disciplinary projects and use project-management tools
  • Strong understanding of manufacturing processes (machining, assembly, additive manufacturing), CAD tools, and DFMA principles.
  • Excellent oral and written communication; able to prepare clear status reports and executive presentations.
  • Ability to obtain a secret clearance
SmartExplore AI is experimental.
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Optics Manufacturing Engineer

RTX

Richardson, TX 75081

~ 18 min OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

  • U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
  • Typically Requires a Bachelor's degree in Science, Technology, Engineering or Math (STEM) and a minimum of 2 years of prior relevant experience
  • Experience providing engineering support in a precision manufacturing environment, specifically working with high-precision CNC lathes, milling machines, and surface grinders
  • Hands-on expertise in operating and programming 3-axis and/or 5-axis CNC equipment using CAM software such as Mastercam or comparable platforms
SmartExplore AI is experimental.
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Manufacturing Engineer

DEAN TECHNOLOGY

Addison, TX 75001

~ 19 min OnsiteHealth InsuranceRetirement Benefit

  • Education: BSEE/BSME/BSMechE and 5+ years' experience, or the equivalent of 10 years' experience in manufacturing engineering, with electronics background.
  • Skills / Technical Knowledge / Experience: Working knowledge of mechanical assemblies, tooling, fixtures, tolerances, and assembly drawings.
  • Skills / Technical Knowledge / Experience: Requires knowledge of fabrication processes, material specification, and general industrial operations.
  • Skills / Technical Knowledge / Experience: Must be a business minded engineer to provide continuous improvements to products and processes.
  • Skills / Technical Knowledge / Experience: Must be proficient with program management tools and have the ability to manage and prioritize multiple projects, tasks, and assignments at once.
  • Must be eligible to work in the United States without sponsorship.
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Manufacturing Engineer

Carrier

Fort Worth, TX 76137

$79,000-$158,000/yr
~ 44 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree
  • 3+ years of manufacturing engineering experience in a discrete/assembly environment
  • Applicants must be legally authorized to work in the United States
  • Employer sponsorship is not available for this role
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Commissioning Engineer

Amazon Data Services

Dallas, TX 75215

Requires TravelHealth InsurancePaid Time OffRetirement Benefit

  • 5+ years of engineering, installation, or startup/commissioning of electrical and mechanical systems experience
  • Bachelor's degree in Mechanical/Electrical Engineering or 5 years of relevant discipline work experience
  • High technical competency in either mechanical or electrical or control systems utilized in critical infrastructures, with the capability to learn and be trained in the others.
  • Understand the design concept and intent by reviewing mechanical or electrical design documentation, including drawings, specifications, vendor submittals and sequences of operations and provide feedback on the same in accordance with Amazon standards for basis of design.
  • Develop but majorly review commissioning documentation such as test plans, scripts and reports developed by vendors to ensure accuracy in accordance with the design requirements.
  • U.S Citizenship Required
  • Ability and willingness to travel domestic and internationally for up to 80% of the year.
  • Required to provide personal transportation for meetings and job visits away from the office; reimbursed.
  • Walk job sites in uneven terrain
  • Work at heights and from ladders
  • Regularly walk, use hands and fingers, reach with hands and arms, stoop, kneel, crouch or crawl
  • Lift and/or move up to 49 pounds; and participate in group lifts for 50 pounds or more
  • Carry objects weighing up to 49 pounds for short distances
  • Perform physical tasks throughout the day without becoming overly tired
  • Ability to manipulate small wires and objects easily
  • Work in a noisy environment
  • Work in environments that are colder or hotter than a normal office environment
SmartExplore AI is experimental.
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Metal Field Services Technician

GoEngineer

Dallas, TX 75201

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