787 Engineer jobs in Princeton,TX

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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Senior Electrical Engineer - Healthcare

TLC Engineering Solutions

Dallas, TX 75201

Hybrid~ 42 minUrgently HiringFlexible ScheduleHealth InsuranceRetirement Benefit

Degree in area of expertise
PE
15+ years of experience in A/E environment
Demonstrated success in managing projects
Engineering expertise in field and knowledge of parallel fields

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Manufacturing Engineer - Fab and Polish

Coherent

Sherman, TX 75090

~ 39 min Onsite

Minimum 7 years of related experience with a Bachelor's degree; or 5 years and a Master's degree; or a PhD with 3 years experience; or equivalent experience.
Master's in manufacturing engineering or equivalent combination of engineering degree and years of experience, preferably in optics, crystals, or wafers.
2 years' work experience in optics, fabrication, or relevant area of photonics in an industrial production environment.
Knowledge of fabrication and polishing of the optical components.
Knowledge of crystal fabrication a +. wafer polishing a+, x-ray crystallography a++
SolidWorks design and simulations skills
Hands on experience in optical shop
CNC programming.
Utilizing microscopes, interferometers, and laser measurement setup.
Basic knowledge and experience in project management, ability to work with minimum supervision
OneNote, Microsoft Office, Oracle, or similar software
Six Sigma, C-Lean, and 5S knowledge a must.
Presentation skills and ability to work with all levels of management and diverse departments.
All employees are required to follow the site EHS procedures and Coherent Corp. Corporate EHS standards.

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Lean Manufacturing Engineer

Teledyne

Garland, TX 75040

~ 35 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Associate's degree in engineering (Mechanical, Electrical, Materials, Industrial, or related discipline) - required
7-8 years of experience in manufacturing engineering, process development, or continuous improvement - required
Hands-on experience with microelectronics or high-reliability manufacturing processes such as wire bonding, die attach, hermetic sealing, welding, or precision assembly - required
Strong cross-functional communication skills with the ability to coordinate engineering, quality, and manufacturing teams - required
Ability to manage multiple technical initiatives, track actions and risks, and drive timely closure - required

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Machine Learning Engineer

Capital One

Plano, TX 75023

New, Posted 1 day ago

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Principal Engineer - Python API Development

Fidelity Investments

Lewisville, TX 75029

~ 42 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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Lead, Antenna Design Electrical Engineer

L3 Harris

Rockwall, TX 75087

~ 36 min OnsiteBilingual Preferred

Bachelors in engineering or other related field with 9 years of related experience.
Graduate degree and a minimum of 7 years of related experience.
In lieu of a degree, minimum of 13 years of prior related experience.
Position requires the ability to obtain and maintain a DoD Secret Security Clearance
Antenna design experience for electromagnetics in the RF spectrum, including VHF, UHF, and microwave applications in the L, S, C, X, Ku, Ka, and V bands.
Experience with antenna element design including horns, dipoles, patch, PIFAs, loop, slot, helical, fractal, Vivaldi, Biconical, Log-periodic, Yagi, etc.
Experience with antenna simulation and analysis tools including HFSS, CST, SystemVue, Advanced Design System (ADS), MATLAB, and other ECAD design tools.
Ability to travel up to 10%.
Security clearances may only be granted to U.S. citizens.
Experience with design and analysis of antenna performance (gain, bandwidth, polarization, directivity, efficiency, etc.), RF Link Budgets and cascade analysis (gain, noise figure, linearity, noise power, etc.).

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Senior Managing Consultant (Mechanics)

Engineering Systems

Dallas, TX 75238

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Mechanical Engineering or related field required
Licensed Professional Engineer (P.E.) required
15+ years of experience in mechanical engineering consulting, design, or forensic investigation
Deep technical expertise in mechanics, stress analysis, fatigue, failure analysis, and/or machine design
Track record authoring high-quality technical reports and/or peer-reviewed publications
Proficiency in Microsoft Office suite; familiarity with mechanical analysis/FEA software (ANSYS, SolidWorks Simulation, or equivalent)
Strong verbal and written communication skills; ability to communicate complex mechanical engineering concepts clearly to legal and non-technical audiences
Ability to interact with clients professionally and build and develop business internally and externally
Must be available to travel occasionally as part of the national practice

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Manufacturing Engineer

Megger

Dallas, TX 75217

~ 42 min Onsite

Bachelor's degree in engineering
Analytical and mathematical proficiency
5-8 Years experience directly working in an electro-mechanical manufacturing industry
English fluency
Effective communication skills to interface with assembly personnel
Familiarity with Surface Mount and through hole assembly technologies
Experience with IPC 610 & ISO 9000 standards
Working knowledge of ERP systems, SAP preferred
Lean or Six Sigma Green Belt certification

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