Electronic Engineer Visa Sponsorship Jobs in Texas
Texas is one of the most active states for electronic engineer visa sponsorship, driven by major defense contractors, semiconductor firms, and tech manufacturers across Dallas-Fort Worth, Austin, and Houston. Companies like Texas Instruments, Raytheon, and Samsung Austin Semiconductor regularly hire electronic engineers and have established H-1B sponsorship programs.
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Get Access To All JobsDescription & 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.
Electronic Engineer Job Roles in Texas
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Search Electronic Engineer Jobs in TexasElectronic Engineer Jobs in Texas: Frequently Asked Questions
Which companies sponsor visas for electronic engineers in Texas?
Texas Instruments, Raytheon Technologies, Samsung Austin Semiconductor, NXP Semiconductors, and L3Harris are among the most active H-1B sponsors for electronic engineer roles in Texas. Defense contractors in the Dallas-Fort Worth area and semiconductor manufacturers in Austin account for a significant share of sponsorship activity, given the concentration of hardware and chip design work in those corridors.
Which visa types are most common for electronic engineer roles in Texas?
The H-1B is the most common visa for electronic engineers in Texas, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in electrical or electronic engineering. Candidates with advanced degrees may also see EB-2 or EB-3 green card sponsorship initiated by larger employers. Australian citizens have access to the E-3 visa, which follows a similar process but bypasses the H-1B lottery.
Which cities in Texas have the most electronic engineer sponsorship jobs?
Dallas-Fort Worth leads the state for electronic engineer sponsorship, driven by defense, telecommunications, and semiconductor firms. Austin is a strong second, with semiconductor fabs and fabless chip design companies concentrated there. Houston has opportunities tied to energy technology and aerospace. San Antonio has a meaningful presence as well, connected to military and defense systems contractors operating near Joint Base San Antonio.
How to find electronic engineer visa sponsorship jobs in Texas?
Migrate Mate is built specifically for international engineers searching for visa sponsorship roles. You can filter by state and job category to surface electronic engineer positions in Texas where employers have a documented history of sponsoring work visas. This saves significant time compared to manually researching which companies in Texas are actively sponsoring, since Migrate Mate focuses exclusively on sponsorship-confirmed opportunities.
Are there any Texas-specific considerations for electronic engineers seeking visa sponsorship?
Texas has no state income tax, which affects total compensation comparisons when evaluating offers. The state's large engineering university pipeline, including graduates from UT Austin, Texas A&M, and UT Dallas, means competition for entry-level roles is high. For sponsored positions, employers must file a Labor Condition Application with the Department of Labor certifying that the offered position meets prevailing wage requirements for the specific metro area, which varies between Dallas, Austin, and Houston.
What is the prevailing wage for sponsored electronic engineer jobs in Texas?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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