844 Wireless Engineer jobs in Dallas,TX

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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 9 hours ago

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Software Engineer (Agentic AI/Data Engineering)

Gartner

Irving, TX 75039

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Residential Sales Representative

Spectrum

Dallas, TX 75234

$100,000/yr

OnsiteUrgently HiringBilingual Preferred

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.
High School Diploma or equivalent work experience
A valid driver's license, car insurance, a satisfactory driving record, and the use of a reliable personal vehicle
Must be able to work evenings and weekends, and as business needs dictate to maximize prospective customer contact
Ability to travel (including during inclement weather) to and from assigned territories and company facilities
Ability to read, write, speak, and understand multiple languages (English and Spanish)
Familiarity with computer operating systems and software applications as well as consumer and commercial communication devices (e.g., PDAs, smartphones, routers, modems, set-top converters, and wireless devices)

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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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Inspector I Quality Control

Smiths Group

Irving, TX 75061

~ 22 min Onsite

Time management skills.
Must be adaptable to a changing work environment, completing jobs and must be able to deal with frequent change, delays, or unexpected events.
Attention to details and ability to focus on assignment.
Knowledge of reading engineering technical drawings, including GD&T; callouts
Effective English communication skills, including writing.
Knowledge of inspection tools (i.e. scopes, calipers, micrometers, etc) along with ability to focus for an extended amount of time while using microscope.
Have good computer skills and able to use Microsoft office products.

SmartExplore AI is experimental.

New, Posted 9 hours ago

DiversityJobs

Sr Engineer, Automation

Optimum Communications

Plano, TX 75086

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Quality Inspector

Leonardo DRS

Dallas, TX 75243

OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

High school diploma or GED
In-depth knowledge of relevant manufacturing standards (such as J-Std-001/IPC-A-610) or common mechanical techniques (such as geometric dimensioning and tolerance practices)
Ability to use various measurement devices (calipers, pin gauges, go/no-go gauges, etc) to verify mechanical part compliance
Experience reading mechanical drawings and able to verify parts dimensions against drawing requirements
Ability to effectively interpret data and present as information and respond to questions from engineers and other technical staff
U.S. Citizenship required. This position requires an active DOD security clearance or the ability to obtain such clearance within a reasonable time after commencement of employment.

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New, Posted 17 hours ago

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Machine Learning Engineer

Capital One

Plano, TX 75023

New, Posted 1 day ago

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Cable Assembly Drafter

Amphenol

Allen, TX 75002

~ 25 min Onsite

Ability to read (write and speak in English) and interpret assembly drawings/specifications from internal and external sources.
Ability to read and interpret engineering drawings and blue prints.
Proficient in AutoCAD/Visio, Solidworks (preferred) or equivalent 3D modeling software.
Proficient in MS Office Suite
Possess good interpersonal skills and ability to work in a team environment
Liaison with engineering/sales/manufacturing personnel
Able to move from design concept to finished design, including layouts and tolerance valuations and detail drawings.
Ability to learn and execute established procedures and programs
Complete all applicable reports and required project documentation
Able to follow established procedures to complete required cable assembly designs
U.S. Citizen or Permanent Resident to satisfy AFSI ITAR requirements
One to two years' college or trade school education in engineering drawing/CAD design
Minimum five (5) years' on-the-job experience.
An equivalent combination of education and experience may be substituted for formal training
Position requires candidates to be U.S. person as defined in ITAR, 22CFR 120.15 (U.S. Citizenship or Resident Alien Status)

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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.