686 Windows Engineer jobs in Dallas,TX

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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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Manufacturing Engineer Senior (Level 3)

Lockheed Martin

Grand Prairie, TX 75051

~ 28 min OnsiteFlexible SchedulePaid Time Off

Technical Engineering Degree OR equivalent experience
5+ years supporting manufacturing processes
Ability to work 4/10 D - Thursday - Sunday
Ability to solve complex problems and manage multiple projects
MUST BE A U.S. CITIZEN - This position is located at a facility that requires special access.

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Manufacturing Engineer I

Elbit Systems of America, LLC

Fort Worth, TX 76137

~ 44 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

Bachelor's Degree in Manufacturing, Mechanical, or Aerospace Engineering
US Persons - ITAR Controls applicable

SmartExplore AI is experimental.

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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 17 hours ago

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Automation Engineer

Amazon.com Services LLC

Dfw Airport, TX 75261

Flexible Schedule

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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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Principal Engineer, IT Software

American Airlines

Fort Worth, TX 76101

New, Posted just now

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Sales Representative

Spectrum

Coppell, TX 75019

~ 31 min OnsiteUrgently Hiring

High school diploma or equivalent
6+ months of experience working with customers
Ability to read, write, speak and understand English
Persuasive presentation skills to address objections and close sales
Commitment to high-quality customer service
Competitive drive to achieve daily, weekly and monthly goals
Strong organizational skills and solid work ethic
Adaptable interpersonal and sales approach for each customer
Proactive in self-development and receptive to coaching
Efficient navigation across multiple screens and complex data systems
Proficient typing and data entry skills
Familiarity with Windows or Apple operating systems, internet browsers and email applications

SmartExplore AI is experimental.

New, Posted 21 hours ago

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Principal Engineer - Python API Development

Fidelity Investments

Lewisville, TX 75029

~ 33 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.