1274 Software Engineer Equity Technology jobs in Dallas,TX

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Technical Writer - Level 3

Lockheed Martin - Fort Worth, TX

Technical Writer - Level 3

~ 44 min OnsiteFlexible Schedule

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Applied Early Career Program - Field Service Engineer

Applied Materials

Dallas, TX 75221

Paid Relocation to Dallas, TX

Requires TravelUrgently Hiring

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

SmartExplore AI is experimental.

New, Posted 13 hours ago

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Principal Engineer - Python API Development

Fidelity Investments

Irving, TX 75061

~ 22 min OnsiteUrgently HiringEducation 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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Principal Engineer, IT Software

American Airlines

Fort Worth, TX 76101

New, Posted 21 hours ago

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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)

SmartExplore AI is experimental.

New, Posted 13 hours ago

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Principal Engineer - Python API Development

Fidelity Investments

Bedford, TX 76022

~ 32 min OnsiteUrgently HiringEducation 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.

New, Posted 1 day ago

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Principal Engineer, IT Software

American Airlines

Fort Worth, TX 76101

New, Posted 21 hours ago

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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

SmartExplore AI is experimental.

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Sr. Software Engineer

McKesson Careers

Irving, TX 75061

$134,971-$208,400/yr

New, Posted 1 day ago

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Director of Order Management

Confidential

Dallas, TX 75201

Remote

Bachelor's degree in a relevant field such as Computer Science or Engineering
Minimum of five years of experience in delivering advanced Order Management solutions within complex enterprise environments
Hands-on experience in order processing, scheduling, sourcing, and fulfillment
Strong grasp of inventory optimization and software architecture fundamentals
Proven leadership skills
Excellent communication, analytical abilities
Experience in vendor management and contract negotiations
The role involves leading solution discovery and design workshops to convert complex challenges into actionable plans
Ownership of the entire platform, including its architecture, roadmap, implementation, operations, and continuous improvement
Defining and implementing the strategy and long-term vision for DOM
Partnering with various internal teams such as operations, logistics, product teams, and executive leadership
Managing change management processes, including communication and training strategies

SmartExplore AI is experimental.