1173 Controls Integration Engineer jobs in Dallas,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

Onsite

New, Posted 1 day ago

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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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New, Posted 6 hours ago

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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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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.

SmartExplore AI is experimental.

New, Posted 1 day ago

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Applied Early Career Program - Field Service Engineer

Applied Materials

Dallas, TX 75221

New, Posted 16 hours ago

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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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Manufacturing Engineer Sr. (Electronics Fabrication, Level 3)

Lockheed Martin

Grand Prairie, TX 75051

~ 28 min OnsiteFlexible SchedulePaid Time Off

MUST BE A U.S. CITIZEN - This position is located at a facility that requires special access. The selected candidate must be able to obtain a Secret clearance. A company-sponsored interim Secret clearance is required to start.
Ability to work independently and as a group with little guidance.
Ability to work in a fast-paced and changing environment.
Ability to interpret drawings, Computer-Aided Design (CAD) models, product/performance specifications, and other systems integration technical data
Ability to liaison between LM Subcontractors, internal disciplines, and LM shop(s) Production Operations
Bachelor's degree in an any STEM field or associated discipline or equivalent combination of experience and education.
Demonstrated effective communication skills including verbal, listening, technical writing, and presentations
Demonstrated effective interpersonal skills, including team building, collaboration, and developing enduring business relationships
Experience manufacturing electronic assemblies to IPC and J-STD specifications
Proficient in MS Office tools (Word, Excel, PowerPoint, etc.)
Must be a US citizen and has the ability to acquire secret clearance
Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match.
Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility.
Schedule for this Position: 4x10 hour day, 3 days off per week
Relocation Available: Yes
Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration and needs interim clearance to start.
Clearance Level: Secret
Six sigma Greenbelt or Blackbelt certified
Current Active Secret Clearance
Experience in Geometric Dimensioning and Tolerancing (GD&T;)

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Senior Controls Service Technician

Trane Technologies

Carrollton, TX 75007

~ 27 min OnsiteUrgently Hiring

A High School Diploma or equivalent, or certificate of completion from an accredited technical school is required.
Typically requires at least 10 plus years of experience in HVAC Controls Systems.
Solid understanding of coding principles, including the ability to read, edit, and modify code.
In-depth knowledge of block or ladder logic programming is highly desirable.
Proficient in modifying and enhancing existing graphics, with a solid foundation in graphic creation and design principles.
Deep understanding of sequence of operations and point-to-point verification to manage and execute commissioning tasks efficiently.
Demonstrated experience in 3rd party integration, ensuring seamless interoperability between various systems and components.
Operating knowledge of Microsoft office software and working proficiency with handheld computer (i.e. Smartphone, iPad).
EPA Certification Preferred (e.g. HVAC Journeyman, Boiler Operator, Gas Installer etc.).
Must possess a valid driver's license for a minimum of 12 months, with no major or frequent traffic violations including, but not limited to: DUI, Hit & Run, License Suspension, Reckless / Careless Driving or multiple smaller infractions or preventable collisions in the previous 3 years.
Must be able to safely and legally operate a vehicle using a seat belt
Must be able to wear helmets, safety goggles, fall protection harness and safety boots to safely perform job duties
Must be able to twist the trunk of your body 90 degrees in each direction
Must be able to squat and touch the floor with both hands
Must be able to reach your hands over your head
Must be able to stand on concrete surfaces for extended periods, routinely up to 4 hours
This position is highly physical and requires regular use of hands, fingers, walking, stooping, kneeling and climbing ladders. It requires employees to regularly lift and or move up to 10 lbs. and frequently lift and/or move up to 40 lbs. (may occasionally lift and/or move more than 40 lbs. with special approval.)
Must be able to safely use a ladder with a 375 lb. total weight limit, while wearing equipment weighing up to 50 lbs.
Must be able to maneuver access areas, as small as 30” vertical x 45” horizontal
Must be able to comfortably and routinely access rooftops with extension and/or fixed ladders at heights of 15' to 20', and occasionally, up to 50 feet +
This role may be exposed to variable weather conditions, moving mechanical parts, heights, risk of electrical shock, noisy operating equipment and other variable environmental conditions based on location
This role has been designated by the Company as Safety Sensitive
Annual Base Salary Range or Hourly Base Pay Range: $44.69 - $55.61
Compensation Type: Hourly
Safety Sensitive Role: Yes

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New, Posted 1 day ago

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Tool Planner / Manufacturing Engineer (Level 2)

Lockheed Martin

Grand Prairie, TX 75051

Hybrid~ 28 minFlexible Schedule

Bachelor's degree or equivalent experience
Ability to communicate effectively
High attention to detail
Knowledge of tool design
Microsoft Office experience
General knowledge of mechanical manufacturing processes
Experience with PLM, MRP, & ERP systems is preferred
Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.
Schedule for this Position: 4x10 hour day, 3 days off per week
Relocation Available: Possible
Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.

SmartExplore AI is experimental.

New, Posted 1 day ago

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Principal Engineer - Python API Development

Fidelity Investments

Irving, TX 75061

~ 22 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.