Electronic Engineer Jobs in Texas
Electronic Engineer jobs in Texas are among the most active in the nation, concentrated in defense and aerospace, semiconductor manufacturing, telecommunications, and energy systems, with demand running from entry-level design roles through senior systems architects. Houston, Dallas-Fort Worth, and Austin account for the largest share of openings, anchored by established employers such as Texas Instruments, Raytheon Technologies, and Lockheed Martin. The most in-demand specialties right now are embedded systems, RF and microwave engineering, and power electronics. Find a role that fits below and apply directly.
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Showing 5 of 180+ Electronic Engineer jobs
Description & Requirements
Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.
Senior Machine Learning Engineer
The EA Security team makes sure that play is fair and protected, so it stays fun and exciting. We defend not only our players, but EA itself: our people’s work, our games, our data, and our infrastructure. Powered by deep technical expertise, we use cutting-edge engineering, automation, and intelligence to tackle threats at global scale. Whether it’s securing game services, combating fraud, or supporting fair play, we’re at the frontline of protecting the future of interactive entertainment. Join us and help keep the world of play — and EA — secure. The Senior Machine Learning Engineer will report to the Senior Manager, EA Player Security Data Labs. You will follow a hybrid work model with a mix of remote work and in-office collaboration. This role focuses on building and operating production-grade data and machine learning infrastructure that enables data scientists and analysts to deliver fraud detection, anti-cheat, and account security solutions across EA games.
Responsibilities
- Design, build, and maintain scalable data ingestion, transformation, and feature pipelines that support machine learning workflows for fraud and anti-cheat systems.
- Own and operate production data and machine learning infrastructure, including batch and near-real-time data processing, feature generation, training workflows, and inference pipelines.
- Partner with data scientists to productionize machine learning models, with a strong focus on data consistency, data quality, and reliable offline and online feature computation.
- Ensure data and machine learning pipelines are reliable, repeatable, observable, and cloud agnostic across environments.
- Contribute to architectural standards, platform design decisions, and engineering best practices as a senior individual contributor within EA Player Security Data Labs.
Qualifications
- Five or more years of professional experience in data engineering, machine learning engineering, or a closely related role with production ownership.
- Strong proficiency in Python and SQL, with demonstrated experience building and maintaining large-scale, production-grade data pipelines. Rust Experience a Plus.
- Experience designing and operating data-intensive systems using modern programming languages, including Rust.
- Hands-on experience supporting end-to-end machine learning workflows, with an emphasis on data preparation, feature pipelines, and model deployment infrastructure.
- Experience working in cloud environments such as AWS or GCP, including large-scale data processing systems.
- Experience with containerization and orchestration technologies such as Docker and Kubernetes.
- Experience with CI/CD systems and production deployment workflows, including GitLab.
Why You Will Enjoy This Role
You will work on data and machine learning systems that protect millions of players from fraud and cheating. You will operate as a senior individual contributor with strong technical ownership and autonomy. You will design and build core data infrastructure that powers machine learning across EA Player Security.
Why We Are Excited About This Role
We build systems that directly protect player trust and fair play across EA games. We value strong data engineering fundamentals and production-focused machine learning. We support senior engineers with autonomy and opportunities to shape long-term technical direction.
Pay Transparency - North America
Compensation And Benefits
The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).
PAY RANGES
- Washington (depending on location e.g. Seattle vs. Spokane) $118,700 - $154,100 USD
Pay is just one part of the overall compensation at EA. In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity.
About Electronic Arts
We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
Description & Requirements
Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.
Senior Machine Learning Engineer
The EA Security team makes sure that play is fair and protected, so it stays fun and exciting. We defend not only our players, but EA itself: our people’s work, our games, our data, and our infrastructure. Powered by deep technical expertise, we use cutting-edge engineering, automation, and intelligence to tackle threats at global scale. Whether it’s securing game services, combating fraud, or supporting fair play, we’re at the frontline of protecting the future of interactive entertainment. Join us and help keep the world of play — and EA — secure. The Senior Machine Learning Engineer will report to the Senior Manager, EA Player Security Data Labs. You will follow a hybrid work model with a mix of remote work and in-office collaboration. This role focuses on building and operating production-grade data and machine learning infrastructure that enables data scientists and analysts to deliver fraud detection, anti-cheat, and account security solutions across EA games.
Responsibilities
- Design, build, and maintain scalable data ingestion, transformation, and feature pipelines that support machine learning workflows for fraud and anti-cheat systems.
- Own and operate production data and machine learning infrastructure, including batch and near-real-time data processing, feature generation, training workflows, and inference pipelines.
- Partner with data scientists to productionize machine learning models, with a strong focus on data consistency, data quality, and reliable offline and online feature computation.
- Ensure data and machine learning pipelines are reliable, repeatable, observable, and cloud agnostic across environments.
- Contribute to architectural standards, platform design decisions, and engineering best practices as a senior individual contributor within EA Player Security Data Labs.
Qualifications
- Five or more years of professional experience in data engineering, machine learning engineering, or a closely related role with production ownership.
- Strong proficiency in Python and SQL, with demonstrated experience building and maintaining large-scale, production-grade data pipelines. Rust Experience a Plus.
- Experience designing and operating data-intensive systems using modern programming languages, including Rust.
- Hands-on experience supporting end-to-end machine learning workflows, with an emphasis on data preparation, feature pipelines, and model deployment infrastructure.
- Experience working in cloud environments such as AWS or GCP, including large-scale data processing systems.
- Experience with containerization and orchestration technologies such as Docker and Kubernetes.
- Experience with CI/CD systems and production deployment workflows, including GitLab.
Why You Will Enjoy This Role
You will work on data and machine learning systems that protect millions of players from fraud and cheating. You will operate as a senior individual contributor with strong technical ownership and autonomy. You will design and build core data infrastructure that powers machine learning across EA Player Security.
Why We Are Excited About This Role
We build systems that directly protect player trust and fair play across EA games. We value strong data engineering fundamentals and production-focused machine learning. We support senior engineers with autonomy and opportunities to shape long-term technical direction.
Pay Transparency - North America
Compensation And Benefits
The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).
PAY RANGES
- Washington (depending on location e.g. Seattle vs. Spokane) $118,700 - $154,100 USD
Pay is just one part of the overall compensation at EA. In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity.
About Electronic Arts
We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
See All 180+ Electronic Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find Electronic Engineer JobsElectronic Engineer Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Electronic Engineer Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
- Schneider Electric42
- Electric Power Engineers32
- Rosendin Electric26
- American Electric Power12
- The University of Texas at Austin9
Top Industries Hiring
- Energy54
- Manufacturing51
- Consulting & Professional Services44
- Technology & Software17
- Electronics & Hardware12
What Texas Employers Look For
The qualifications that appear most often in electronic engineer jobs across Texas.
- Bachelor's degree in electrical engineering or a closely related engineering field required
- Professional Engineer license issued or recognized by the Texas Board of Professional Engineers preferred for senior roles
- Hands-on experience with embedded systems design, PCB layout, or RF circuit development
- Proficiency in simulation and design tools such as MATLAB, Cadence, or Altium Designer
- Familiarity with defense or aerospace standards such as MIL-STD or DO-254 for Texas defense-sector positions
- Strong written and verbal communication skills for cross-functional collaboration with systems and software teams
Electronic Engineer Jobs in Texas: Frequently Asked Questions
How do you become an electronic engineer in Texas?
The standard path begins with a bachelor's degree in electrical or electronic engineering from an accredited program, which qualifies you for most industry roles without a mandatory state license. Engineers who sign off on public-facing designs must obtain a Professional Engineer license through the Texas Board of Professional Engineers, which requires passing the Fundamentals of Engineering exam, gaining supervised experience, and then passing the Principles and Practice of Engineering exam. Many Texas employers in defense and semiconductors hire without a PE license for non-stamping roles.
How much do electronic engineers make in Texas?
Electronic engineers in Texas earn a median of about $129,450 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $76,120 for the lowest 10% to over $210,160 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire electronic engineers in Texas?
Employers hiring electronic engineers in Texas right now include Schneider Electric, Electric Power Engineers, and Rosendin Electric, based on current listings on Migrate Mate as of June 2026. Texas's concentration of defense contractors, semiconductor firms, and energy technology companies means hiring tends to be consistent year-round rather than tied to a single seasonal cycle.
Which Texas cities have the most electronic engineer jobs?
Austin, Dallas, and El Paso lead Texas for electronic engineer openings. Dallas-Fort Worth draws the most volume through its dense cluster of defense contractors and semiconductor companies, Austin's tech and chip-design sector drives strong demand there, and Houston's energy and aerospace industries sustain a steady pipeline of embedded systems and power electronics roles.
Are there remote electronic engineer jobs in Texas?
Yes, but they're less common than in purely software-focused fields because electronic engineering typically involves lab work, hardware testing, and prototype builds that require physical presence. About 23% of electronic engineer openings tied to Texas are remote or hybrid as of June 2026, with remote arrangements most often found in firmware development, systems architecture, and design review roles that don't require hands-on hardware access.
How can I get hired as an electronic engineer in Texas with little or no experience?
The most realistic entry path is applying to new-graduate or associate engineer programs at large Texas defense and semiconductor employers, which regularly onboard candidates directly from university. Texas Instruments, Raytheon, and L3Harris all run structured early-career programs out of their Texas facilities. Candidates who have completed relevant internships, senior capstone projects, or hold an Engineer-in-Training certification from the Texas Board of Professional Engineers stand out against other new graduates. Adjacent roles such as electronics technician or test engineer are also common first steps into a full engineering career in Texas.
Where can I find and apply to electronic engineer jobs in Texas?
You can find and apply to electronic engineer jobs in Texas on Migrate Mate, which lists current Texas openings across defense, semiconductors, energy, and telecommunications. Find roles that fit your background and apply directly to the employer through each listing.
See All 180+ Electronic Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
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