1034 Operations Engineer Robotics jobs in Dallas,TX

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Robotics Technician

US0767 Prysmian Cables and Systems Usa LLC

Rockwall, TX 75087

$30-$33/hr

~ 32 min OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

Associate's degree or technical certification in Mechatronics, Electrical Technology, Industrial Automation, or related field, or equivalent experience
2-5 years of experience in robotics, automation, or industrial maintenance
Experience with industrial robots (e.g., FANUC, Yaskawa, ABB, Universal Robots)
Ability to read, write, and communicate in English as required to safely perform job duties

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Manufacturing Engineer Asc (Level 1)

Lockheed Martin

Grand Prairie, TX 75051

~ 28 min OnsiteFlexible SchedulePaid Time Off

Bachelor's degree in Manufacturing Engineering Technology, a similar field, or equivalent experience
Proven track record of data driven approach to solving problems
Strong communication skills
MUST BE A U.S. CITIZEN
This position is located at a facility that requires special access
The selected candidate must be able to obtain a Secret clearance
Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration.
Clearance Level: Secret
Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility.
Schedule for this Position: 4x10 hour day, 3 days off per week
Relocation Available: Possible

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Applied Early Career Program - Field Service Engineer

Applied Materials

Dallas, TX 75221

Paid Relocation to Dallas, TX

Requires Travel

Associate degree, recent college graduate, military technical training, trade certification, or equivalent hands-on experience
Basic mechanical aptitude and interest in technical systems
Willingness to learn and read electrical and mechanical schematics
Ability to diagnose and solve basic technical problems
Strong written and verbal communication skills
Basic working knowledge of Microsoft Excel, Word, and PowerPoint
Valid driver's license and ability to obtain a passport, if required for travel
Ability to meet on-site safety, environmental, and customer requirements

SmartExplore AI is experimental.

New, Posted 11 hours ago

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MVP, Cloud Engineering & Operations (Enterprise Technology Operations)

Gartner

Irving, TX 75039

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Field Service Engineer II/III

Applied Materials

Richardson, TX 75081

~ 18 min Onsite

Completion of an Associate degree, military technical training, field service experience, or trade certification
2-7 years of work experience in customer/field service support, or a related technical field
Ability to read and interpret electrical and mechanical schematics
Experience diagnosing and resolving basic technical challenges
Basic mechanical aptitude with pneumatics, hydraulics, electronics, vacuum, or thermodynamics
Familiarity with hand tools and their appropriate usage, including digital multimeters
Effective written and verbal communication skills
Basic knowledge of Microsoft Excel, Word, and PowerPoint
Possession of a valid driver's license and the ability to obtain a passport, if travel is required
Able to meet all on-site requirements, including safety, environmental guidelines, and COVID-19 protocols
Must have experience working in the semiconductor industry
Must be located and/or willing to relocate to service the Dallas-Richardson and Sherman Texas areas (40%).

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Manufacturing Engineering Associate Manager (Level 4)

Lockheed Martin

Grand Prairie, TX 75051

Paid Relocation to Grand Prairie, TX

Hybrid~ 28 minFlexible SchedulePaid Time Off

Bachelors or higher degree in an engineering discipline
Ability to obtain a security clearance
Ability to lead cross functional teams
Knowledge of Lean manufacturing principles
Demonstrated presentation skills
Ability to build positive relationships with the customer
Effective interpersonal skills, including team building and collaboration
Manufacturing background
Ability to travel domestic and/or international
MUST BE A U.S. CITIZEN
The selected candidate must be able to obtain a Secret clearance
A company-sponsored interim Secret clearance is required to start
Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration.
Clearance Level: Secret

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Senior Manufacturing Engineer

Klein Tools

Mansfield, TX 76063

~ 38 min OnsiteHealth InsuranceRetirement Benefit

Bachelor of Science Degree in Mechanical, Electrical, or Industrial Engineering (appropriate for the assigned area) and five (5) year experience
Must possess basic knowledge of tooling design methods and machine tool programming
Ability to use Microsoft Office and CAD software
Ability to communicate effectively both orally and written
Ability to communicate and work as a team member

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Fabrication Shop Operations Leader

Ecolab

Dallas, TX 75217

OnsiteChildcare AssistanceEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Mechanical Engineering or Manufacturing Engineering OR 10+ years of relevant manufacturing/operations experience
Proven ability to lead teams in safety and production environments
Experience managing complex operations and workforce dynamics

SmartExplore AI is experimental.

New, Posted 11 hours ago

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Software Engineer (AWS/Kubernetes) - Cloud Center of Excellence

Gartner

Irving, TX 75039

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Principal Engineer - Python API Development

Fidelity Investments

Irving, TX 75061

~ 22 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline
8+ years (typically 10+) building and operating production platforms and services at scale
Deep software engineering expertise in Python and distributed systems
A track record of building production‑grade services, libraries, and internal platforms
Linux fluency and scripting are required
Cloud platform leadership (AWS) —hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt
Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use—without a research or modeling focus
Cross‑org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes
Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units
Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
Advance model/data observability—tooling for data and feature drift detection, prediction‑quality monitoring and uncertainty signals, and automated diagnostics/ explainability
Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform
Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap
The base salary range for this position is $107,000-216,000 USD per year.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.