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Systems Engineer Signal Processing

Dallas,TX

1123 Systems Engineer Signal Processing jobs in Dallas,TX

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Controls Business Development Manager (Building Automation Systems)-Dallas, TX

Top Tempo Technical - Dallas, TX

Top Tempo Technical - Dallas, TX

Controls Business Development Manager (Building Automation Systems)-Dallas, TX
Onsite
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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
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Technical Writer - Level 3

Lockheed Martin

Fort Worth, TX 76137

~ 44 min OnsiteUrgently HiringFlexible Schedule

  • 3-6 years of professional technical writing experience in aerospace, defense, or a similarly regulated industry; direct exposure to joint or multi‑agency programs preferred.
  • Familiarity with systems engineering concepts, system architecture, and/or basic hardware/software terminology; ability to read schematics, block diagrams, and/or software code excerpts.
  • Bachelor's degree in Engineering, Computer Science, Technical Communication, or a related technical field.
  • Ability to obtain and maintain a Secret (or higher) clearance as required by the program.
  • This position requires a government security clearance, you must be a US Citizen for consideration.
  • Clearance Level: Secret
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Principal Engineer - Python API Development

Fidelity Investments

Euless, TX 76039

~ 28 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.
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Engineer/Sr Engineer, IT Software

American Airlines

Fort Worth, TX 76101

~ 44 min Onsite

  • Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
  • 3+ years of experience designing, developing, and implementing large-scale solutions in production environments
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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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Engineer/Sr Engineer, IT Data

American Airlines

Fort Worth, TX 76101

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Manufacturing Engineer

Teledyne

Garland, TX 75040

~ 26 min OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

  • BS degree in engineering or related discipline with at least 3 to 5 years of direct or related experience - required
  • Or minimum 8-10 years working experience as a Manufacturing Engineer or related engineering position of responsibility with demonstrated engineering competency may be considered in place of formal college degree with associated experience
  • Strong electro-mechanical troubleshooting skills - required
  • PC literate - required
  • Ability to travel "as required" to customer site(s) to provide technical support and training
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L-Manufacturing Engineer

The Crosby Group

Richardson, TX 75080

~ 18 min Onsite

  • Engineering B.S. required
  • 2-7 years related
  • Proficient in design of tooling, manufacturing systems, and project management
  • CAM programming
  • Microsoft Word, Excel and PowerPoint
  • Ability to use precision measurement devices and knowledge of engineering drawings, blueprints and tolerances
  • Oral and written communication proficiency
  • PLC and controls experience preferred
  • Travel is required occasionally (driving/flying)
  • Must be able to work necessary hours to accomplish or complete job tasks. Occasional 50+ hour work week may be required
  • Exposure to moving mechanical parts, fumes, or airborne particles typical to a manufacturing environment
  • Familiar with CAD system and proficient with one AutoCAD compatible system or computer aided machining program
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Engineer Intern

Curtiss-Wright

Grand Prairie, TX 75052

$18-$21/hr
~ 28 min Onsite

  • Mechanical Engineering or Manufacturing Engineering student in their 2nd, 3rd, or 4th year of studies
  • CAD Modeling Experience (ideally SolidWorks)
  • 3D Printing Experience (using Simplify3d software)
  • Design & Build Experience (i.e. Robot team, Catapult Team, HPVC Team, or personal projects)
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