1302 Principal Engineer jobs in Plano,TX

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

Top Tempo Technical - Dallas, TX

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

~ 26 min Onsite

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Manufacturing Engineer

Delta Group Electronics

Grand Prairie, TX 75052

~ 44 min OnsiteUrgently Hiring

Bachelor's degree in Engineering or equivalent combination of experience and education
Experience with electronic manufacturing processes
Intermediate Electronic Assembly skills
Thermal, Mechanical, and Materials Knowledge
Intermediate Operational Knowledge
Proficiency reading, writing, and speaking English

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New, Posted 1 day ago

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Manufacturing Engineer

Stanley Black & Decker

Farmers Branch, TX 75234

OnsiteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelors Degree in Engineering (BSIE / BSME / BSMfgE preferred) or 7+ years equivalent experience (significantly and directly related)
3-5 years of hands-on experience in a manufacturing environment with exposure to CNC turning/milling, Grinding/Polishing and Assembly
Knowledge of Hot or Cold Forging is a plus
Exposure to General Automation, PLC or CNC programming
Experience with process validation, FMEA, and risk assessment
Excellent analytical, structured problem-solving and project management skills
Ability to manage multiple projects simultaneously and work in a team environment
A working knowledge of practical statistics
Proficient with Creo, Catia or AutoCAD and knowledgeable of geometric dimensioning & tolerance
Proficient with MS Word, Power Point and Excel
Excellent written/verbal and presentation skills is a must and communicates effectively with employees at all levels
Earns trust from team members and celebrates successes and is passionate to improve and getting things accomplished
Consistently demonstrates the highest level of personal ethical conduct and leads with integrity and influences through transparency

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New, Posted 20 hours ago

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Manufacturing Engineer

DEAN TECHNOLOGY

Addison, TX 75001

OnsiteUrgently HiringHealth InsuranceRetirement Benefit

Education: BSEE/BSME/BSMechE and 5+ years' experience, or the equivalent of 10 years' experience in manufacturing engineering, with electronics background.
Skills / Technical Knowledge / Experience: Working knowledge of mechanical assemblies, tooling, fixtures, tolerances, and assembly drawings.
Skills / Technical Knowledge / Experience: Requires knowledge of fabrication processes, material specification, and general industrial operations.
Skills / Technical Knowledge / Experience: Must be a business minded engineer to provide continuous improvements to products and processes.
Skills / Technical Knowledge / Experience: Must be proficient with program management tools and have the ability to manage and prioritize multiple projects, tasks, and assignments at once.
Must be eligible to work in the United States without sponsorship.

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New, Posted 1 day ago

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Principal Engineer - Python API Development

Fidelity Investments

Lewisville, TX 75029

~ 32 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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Manufacturing Engineer

Teledyne

Garland, TX 75040

~ 23 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
Demonstrates accuracy and proficiency in execution of job responsibilities - required
Good interpersonal and training skills - required
Strong electro-mechanical troubleshooting skills - required
PC literate - required
Strong attention to detail - required

SmartExplore AI is experimental.

New, Posted 1 day ago

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Principal Engineer - Python API Development

Fidelity Investments

Highland Village, TX 75077

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.

SmartExplore AI is experimental.

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Area Maintenance Manager

Amazon.com Services LLC

Carrollton, TX 75011

~ 23 min OnsiteUrgently HiringFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Electrical Engineering, Mechanical Engineering, Engineering Technology, or Reliability Engineering
2+ years of Amazon RME (BB/3P) Full Time experience
Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
4+ years of industrial maintenance experience
2+ years of direct leadership/supervisory experience
2+ years of Computerized Maintenance Management System (CMMS) experience
2+ years of Microsoft Office products and applications experience

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Manufacturing Engineer Senior (Level 3)

Lockheed Martin

Grand Prairie, TX 75051

~ 44 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.

SmartExplore AI is experimental.

New, Posted 1 day ago

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