1148 Avionics Systems Engineer jobs in Dallas,TX

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Heavy Equipment Shop Technician (Mechanic)

EquipmentShare - Mckinney, TX

Heavy Equipment Shop Technician (Mechanic)

~ 32 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

New, Posted 17 hours ago

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

Top Tempo Technical

Dallas, TX 75217

OnsiteUrgently Hiring

5+ years of successful business development, sales, or account management experience within the Building Automation Systems (BAS), Controls, HVAC Controls, Energy Services, or Smart Building industry.
Demonstrated success generating new business and closing large commercial projects.
Strong understanding of Building Automation Systems, controls platforms, HVAC systems, energy management, and facility operations.
Proven ability to develop relationships with owners, engineers, consultants, and key stakeholders.
Experience reviewing plans, specifications, and conceptual project requirements.
Strong financial and business acumen with an understanding of project pricing, budgeting, and contract structures.
Excellent presentation, negotiation, and communication skills.
Self-starter with exceptional organizational and time-management abilities.
Ability to manage multiple opportunities simultaneously while maintaining a customer-focused approach.

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Principal Engineer, IT Systems Engineering

American Airlines

Fort Worth, TX 76101

~ 44 min Onsite

Bachelor's in Computer Science, Computer Engineering, Technology , Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
8 years experience as a software or platform engineer
5 years of experience with public and private cloud technologies, particularly Kubernetes
Hands-on experience in systems development in a variety of computing architectures and environments
Hands-on experience writing, testing, and maintaining Kubernetes operator code in Go
Strong technical expertise in Kubernetes architecture, including networking patterns, security patterns, service mesh, scheduling, and lifecycle automation.
Experience with Kubebuilder and/or Operator SDK
A test-first mindset and experience using Ginkgo/Gomega
Strong understanding of Kubernetes networking internals and cloud networking concepts.
Experience maintaining and operating large-scale, highly resilient platforms in the public cloud.
Proficient in infrastructure automation & orchestration
Proficient in Agile methodologies
Significant experience in requirements analysis and use case development, with a thorough understanding of software development life cycles, development and technology tools, testing methodologies, and requirements gathering
Ability to create/reengineer integration solutions (architectures) with other enterprise standard technologies
Ability to manage multiple efforts concurrently with the skills to keep complex initiatives moving forward quickly while exercising an appropriate level of procedural discipline
Proven ability to build strong and sustainable relationships with internal and external stakeholders
Ability to adapt to unexpected events, new facts, and rapidly changing circumstances
Ability to thrive in a sense-of-urgency environment and leverage best practices

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HVAC Controls Systems Engineer

Johnson Controls

Irving, TX 75061

Requires TravelHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in engineering and minimum 3 years' experience
Demonstrated knowledge of the construction or HVAC industry.
Demonstrated knowledge of control theory, automatic temperature controls, building automation systems and other building subsystems.
Experience with JCI software programming
Demonstrated experience in the integration of low voltage building sub-systems using various industry protocols (i.e., LON, BACnet, etc.).
Ability to relate technical knowledge to a non-technical audience.
Demonstrated advanced computer skills required, particularly computer-related drafting tools.
Ability to travel regularly.

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Principal Engineer - Python API Development

Fidelity Investments

Flower Mound, TX 75027

~ 37 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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Field Airborne Support Team Avionics Tech IV

Gulfstream Aerospace Corporation

Fort Worth, TX 76137

$5,000 bonus

Remote

High School Diploma or GED required
6 years experience in an avionics/electrical career field
Or two (2) years of accredited schooling in aviation electronics and four (4) years related experience
A & P license, FCC license or NCATT certification preferred
Must be available on an on-call basis, with the ability to be on site or dispatched within two hours of the initial contact from Gulfstream
100% travel
Must be able to read, write, speak, and understand the English language

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Lead Security Systems Technician

Active Security Consulting LLC

Dallas, TX 75201

Onsite

Graduate
Minimum of 5 years in electronic security, including systems integration, administration, and advanced troubleshooting, with a focus on compliance and adherence to government and independent standards
Completion of at least four industry certifications in electronic security and systems integration
Travel to projects and stay overnight for varying lengths of time
Background check
Valid driver's license
Eligible for U.S. Government Security Clearance
Ability to work in a team environment
Ability to handle prolonged tasks
Ability to handle up to 50 pounds
Ability to work at heights
Ability to work in diverse environments
Maintaining company-issued tools, vehicles, and equipment

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New, Posted 1 day ago

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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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Principal Engineer - Python API Development

Fidelity Investments

Coppell, TX 75019

~ 31 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.

SmartExplore AI is experimental.

Apply Directly

Buyer

Delta Electronics (Americas)

Plano, TX 75075

$85,000/yr

~ 27 min OnsiteBilingual Preferred

Bachelor's degree in supply chain management or a related field.
Minimum of 3 years of experience in technical procurement or buying within manufacturing, industrial, or facility operations.
Strong understanding of factory equipment, industrial tools, facility systems, and construction-related services.
Proven skills in negotiation, supplier relationship management, and purchasing documentation.
Proficiency in ERP systems and Microsoft Office applications.
Ability to interpret technical specifications and collaborate effectively with internal engineering teams and external suppliers.
Bilingual required - fluent in English and intermediate proficiency in Mandarin.

SmartExplore AI is experimental.

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New, Posted 1 day ago

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Sr. Associate, Electrical Engineer

L3Harris Technologies

Plano, TX 75023

~ 27 min OnsiteBilingual Preferred

Bachelor's degree with two (2) years of electrical engineering experience
Graduate degree with zero (0) to two (2) years of electrical engineering experience
In lieu of a degree, a minimum of six (6) years of electrical engineering experience
Must be a U.S. Citizen
Ability to obtain and maintain a DoD security clearance
Security clearances may only be granted to U.S. citizens
L3Harris is an Equal Opportunity Employer. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law
Please be aware many of our positions require the ability to obtain a security clearance
Security investigations and eligibility requirements for access to classified information

SmartExplore AI is experimental.