Computer Engineer Visa Sponsorship Jobs in Texas
Computer engineer visa sponsorship jobs in Texas are concentrated in Austin, Dallas, and Houston, where employers like Dell Technologies, Texas Instruments, NXP Semiconductors, and Oracle maintain large engineering teams. The state's semiconductor manufacturing base, enterprise software sector, and growing cloud infrastructure industry make Texas one of the more active states for sponsored computer engineer positions.
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Get Access To All JobsLocation: Southlake, TX ; Omaha, NE ; Orlando, FL ; San Francisco, CA
Requisition ID 2026-129890
Category Risk & Regulatory
Position type Regular
Pay range USD $100,000.00 - $140,000.00 / Year
Application deadline 2026-11-14
Your opportunity
At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location.
The Behavioral AI/ML Analytics (BAMA) team is looking for a dynamic, self-motivated Manager, Data Science. BAMA leverages predictive modeling, advanced analytics, machine learning, and emerging AI technologies to deliver innovative solutions that enhance Schwab's ability to fight financial crime. Supporting Fraud Prevention and Anti-Money Laundering (AML) programs within Financial Risk Management (FRM), the team develops predictive models, AI-powered capabilities, and advanced analytical solutions that solve complex business problems and deliver measurable value. With a broad range of business challenges to address, BAMA provides numerous opportunities to drive meaningful impact through both traditional machine learning and next-generation AI technologies.
What you’ll do
As a Manager, Data Science, you will play a key role in understanding FRM business needs and delivering innovative, high-impact analytical solutions. You will collaborate with business, technology, and governance partners to develop and deploy advanced analytics, machine learning, and Generative AI solutions that support critical fraud and AML initiatives.
Key responsibilities include:
- Develop, test, and implement predictive modeling, machine learning, and GenAI-powered solutions to enhance fraud detection, AML investigations, risk analytics, and operational efficiency.
- Partner with business, technology, and governance teams to translate business needs into practical use cases for Large Language Models (LLMs), Retrieval Augmented Generation (RAG), intelligent automation, and agentic AI systems.
- Design, develop, and evaluate AI-assisted investigator tools, knowledge retrieval solutions, and decision-support capabilities while supporting appropriate model governance, risk controls, and regulatory compliance.
- Leverage cloud-based AI platforms and emerging technologies to improve analyst productivity, decision quality, and customer outcomes.
- Communicate analytical findings and AI-driven insights to technical and non-technical stakeholders, supporting informed business decisions and measurable outcomes.
What you have
The Manager, Data Scientist brings a strong quantitative foundation, business acumen, and passion for solving complex problems. The ideal candidate is an innovative, collaborative professional with expertise in data science, machine learning, and emerging AI technologies.
Qualifications:
- Demonstrated ability to independently and collaboratively deliver end-to-end data science solutions that drive business value.
- Experience in data science and machine learning within fraud, AML, payments, financial services, or related domains.
- Strong communication skills, with the ability to translate complex analytical and AI concepts into clear business insights.
- Curiosity and enthusiasm for learning and adopting new tools, technologies, and techniques.
- 3+ years of experience in analytics, data science, machine learning, or a related field.
- Advanced proficiency in SQL and Python.
- Experience with Generative AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, or AI agent frameworks.
- Understanding of Responsible AI, model governance, explainability, and AI risk management principles.
- Experience with modern AI platforms and tools such as Vertex AI, Gemini, OpenAI, LangChain, or related technologies.
What will help set you apart
- Demonstrated experience developing and deploying GenAI applications within financial services, fraud, AML, risk management, or compliance domains.
- Experience with LLM evaluation, AI observability, prompt optimization, RAG architectures, knowledge retrieval systems, and agent-based workflows.
- Knowledge of cloud-native AI platforms, particularly Google Cloud Platform (GCP), Vertex AI, Gemini, and related AI services.
- Experience supporting cross-functional AI initiatives from ideation through production deployment and adoption.
- Familiarity with AI governance frameworks, model risk management, and emerging regulatory expectations for GenAI in highly regulated industries.
- Experience building scalable AI solutions that integrate predictive modeling, machine learning, and Generative AI capabilities into operational workflows.
What’s in it for you
At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.
We offer a competitive benefits package that takes care of the whole you – both today and in the future:
- 401(k) with company match and Employee stock purchase plan
- Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
- Paid parental leave and family building benefits
- Tuition reimbursement
- Health, dental, and vision insurance
Eligible Schwabbies receive
- Medical, dental and vision benefits
- 401(k) and employee stock purchase plans
- Tuition reimbursement to keep developing your career
- Paid parental leave and adoption/family building benefits
- Sabbatical leave available after five years of employment
Location: Southlake, TX ; Omaha, NE ; Orlando, FL ; San Francisco, CA
Requisition ID 2026-129890
Category Risk & Regulatory
Position type Regular
Pay range USD $100,000.00 - $140,000.00 / Year
Application deadline 2026-11-14
Your opportunity
At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location.
The Behavioral AI/ML Analytics (BAMA) team is looking for a dynamic, self-motivated Manager, Data Science. BAMA leverages predictive modeling, advanced analytics, machine learning, and emerging AI technologies to deliver innovative solutions that enhance Schwab's ability to fight financial crime. Supporting Fraud Prevention and Anti-Money Laundering (AML) programs within Financial Risk Management (FRM), the team develops predictive models, AI-powered capabilities, and advanced analytical solutions that solve complex business problems and deliver measurable value. With a broad range of business challenges to address, BAMA provides numerous opportunities to drive meaningful impact through both traditional machine learning and next-generation AI technologies.
What you’ll do
As a Manager, Data Science, you will play a key role in understanding FRM business needs and delivering innovative, high-impact analytical solutions. You will collaborate with business, technology, and governance partners to develop and deploy advanced analytics, machine learning, and Generative AI solutions that support critical fraud and AML initiatives.
Key responsibilities include:
- Develop, test, and implement predictive modeling, machine learning, and GenAI-powered solutions to enhance fraud detection, AML investigations, risk analytics, and operational efficiency.
- Partner with business, technology, and governance teams to translate business needs into practical use cases for Large Language Models (LLMs), Retrieval Augmented Generation (RAG), intelligent automation, and agentic AI systems.
- Design, develop, and evaluate AI-assisted investigator tools, knowledge retrieval solutions, and decision-support capabilities while supporting appropriate model governance, risk controls, and regulatory compliance.
- Leverage cloud-based AI platforms and emerging technologies to improve analyst productivity, decision quality, and customer outcomes.
- Communicate analytical findings and AI-driven insights to technical and non-technical stakeholders, supporting informed business decisions and measurable outcomes.
What you have
The Manager, Data Scientist brings a strong quantitative foundation, business acumen, and passion for solving complex problems. The ideal candidate is an innovative, collaborative professional with expertise in data science, machine learning, and emerging AI technologies.
Qualifications:
- Demonstrated ability to independently and collaboratively deliver end-to-end data science solutions that drive business value.
- Experience in data science and machine learning within fraud, AML, payments, financial services, or related domains.
- Strong communication skills, with the ability to translate complex analytical and AI concepts into clear business insights.
- Curiosity and enthusiasm for learning and adopting new tools, technologies, and techniques.
- 3+ years of experience in analytics, data science, machine learning, or a related field.
- Advanced proficiency in SQL and Python.
- Experience with Generative AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, or AI agent frameworks.
- Understanding of Responsible AI, model governance, explainability, and AI risk management principles.
- Experience with modern AI platforms and tools such as Vertex AI, Gemini, OpenAI, LangChain, or related technologies.
What will help set you apart
- Demonstrated experience developing and deploying GenAI applications within financial services, fraud, AML, risk management, or compliance domains.
- Experience with LLM evaluation, AI observability, prompt optimization, RAG architectures, knowledge retrieval systems, and agent-based workflows.
- Knowledge of cloud-native AI platforms, particularly Google Cloud Platform (GCP), Vertex AI, Gemini, and related AI services.
- Experience supporting cross-functional AI initiatives from ideation through production deployment and adoption.
- Familiarity with AI governance frameworks, model risk management, and emerging regulatory expectations for GenAI in highly regulated industries.
- Experience building scalable AI solutions that integrate predictive modeling, machine learning, and Generative AI capabilities into operational workflows.
What’s in it for you
At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.
We offer a competitive benefits package that takes care of the whole you – both today and in the future:
- 401(k) with company match and Employee stock purchase plan
- Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
- Paid parental leave and family building benefits
- Tuition reimbursement
- Health, dental, and vision insurance
Eligible Schwabbies receive
- Medical, dental and vision benefits
- 401(k) and employee stock purchase plans
- Tuition reimbursement to keep developing your career
- Paid parental leave and adoption/family building benefits
- Sabbatical leave available after five years of employment
Computer Engineer Job Roles in Texas
See all 43+ Computer Engineer Jobs in Texas
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Search Computer Engineer Jobs in TexasComputer Engineer Jobs in Texas: Frequently Asked Questions
Which companies in Texas sponsor visas for computer engineers?
Texas-based employers with consistent H-1B visa sponsorship records for computer engineers include Dell Technologies in Round Rock, Texas Instruments and NXP Semiconductors in Dallas, Oracle and Apple in Austin, and Hewlett Packard Enterprise in Houston. Large financial institutions such as JPMorgan Chase and Bank of America also maintain significant engineering headcount in Texas and have active sponsorship histories for technical roles.
Which visa types apply to computer engineer roles in Texas?
Computer engineering qualifies as a specialty occupation, making the H-1B the most common path. Australian citizens can pursue the E-3 visa, and Chilean and Singaporean nationals may use the H-1B1 visa. Canadian and Mexican citizens qualify under TN visa status, as computer engineering fits the USMCA Engineer profession. F-1 graduates can work via OPT or STEM OPT if their degree is STEM-designated. EB-2 and EB-3 green cards are also available through employer sponsorship.
How to find computer engineer visa sponsorship jobs in Texas?
Migrate Mate lists Texas computer engineer roles specifically from employers with verified visa sponsorship histories, so you can search without filtering through positions that don't offer sponsorship. Focusing your search on Austin, Dallas, and Houston will surface the highest volume of active openings. Migrate Mate's data covers employers across semiconductor, cloud, enterprise software, and defense sectors, which are the primary industries hiring sponsored computer engineers in Texas.
Which Texas cities have the most computer engineer sponsorship jobs?
Austin leads the state for sponsored computer engineer openings, driven by major tech campuses from Apple, Google, Meta, and Oracle alongside a dense cluster of startups. Dallas-Fort Worth follows closely, anchored by Texas Instruments, NXP Semiconductors, and AT&T. Houston contributes roles through energy technology firms and aerospace companies. San Antonio has a growing cybersecurity and defense technology sector, with employers like USAA and several federal contractors sponsoring engineering positions.
Are there any Texas-specific factors that affect visa sponsorship for computer engineers?
Texas has no state income tax, which influences where engineering teams are built and can make Texas roles attractive to both employers and candidates. The state's large public universities, including UT Austin, Texas A&M, and UT Dallas, produce substantial pools of international engineering graduates who often enter the OPT and H-1B pipeline locally. The semiconductor corridor between Austin and Dallas also creates concentrated demand for hardware-side computer engineers, a distinction from the software-dominant markets in coastal states.
What is the prevailing wage for sponsored computer 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.