AI Engineer Visa Sponsorship Jobs in Texas
Texas is one of the most active states for AI engineer visa sponsorship, driven by major tech hubs in Austin, Dallas, and Houston. Companies like Dell Technologies, Texas Instruments, AT&T, and a growing number of AI-focused startups and hyperscalers operate here, creating consistent demand for international AI engineering talent.
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Get Access To All JobsINTRODUCTION
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are looking for outstanding High Performance AI Engineer to build groundbreaking multi-agent systems for the CUDA ecosystem. We build innovative agentic runtimes and compiler-integrated orchestration that work together with NVIDIA's software stack to provide comprehensive acceleration for modern agent workloads powered by foundational models. As a member of the team, you will develop new agent abstractions, GPU-centric runtimes, and compiler- or runtime-driven system solutions to accelerate agent planning, tool-use, code generation, and other high-impact AI workloads. You will collaborate closely with internal NVIDIA software and hardware teams to push the latest developments into NVIDIA products.
ROLE AND RESPONSIBILITIES:
- Design, build and optimize agentic AI systems for the CUDA ecosystem.
- Co-design agentic system solutions with software, hardware and algorithm teams; influence and adopt new capabilities as they become available.
- Develop reproducible, high-fidelity evaluation frameworks covering performance, quality and developer productivity.
- Collaborate across the AI stack—from hardware through compilers/toolchains, kernels/libraries, frameworks, distributed training, and inference/serving—and with model/agent teams.
BASIC QUALIFICATIONS:
- Bachelor’s degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); MS or PhD preferred.
- 3 years+ industry or academia experience with AI systems development; exposure to building foundational models, agents or orchestration frameworks; hands-on experience with deep learning frameworks and modern inference stacks.
- Strong C/C++ and Python programming skills; solid software engineering fundamentals.
- Experience with GPU programming and performance optimization (CUDA or equivalent).
PREFERRED QUALIFICATIONS:
- Strong experience in building/evaluating deep learning models, coding agents and developer tooling.
- Demonstrated ability to optimize and deploy high-performance models, including on resource-constrained platforms.
- Demonstrated ability in GPU performance optimizations, evidenced by benchmark wins or published results.
- Publications or open-source leadership in deep learning, multi-agent systems, reinforcement learning, or AI systems; contributions to widely used repos or standards.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 1, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
INTRODUCTION
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are looking for outstanding High Performance AI Engineer to build groundbreaking multi-agent systems for the CUDA ecosystem. We build innovative agentic runtimes and compiler-integrated orchestration that work together with NVIDIA's software stack to provide comprehensive acceleration for modern agent workloads powered by foundational models. As a member of the team, you will develop new agent abstractions, GPU-centric runtimes, and compiler- or runtime-driven system solutions to accelerate agent planning, tool-use, code generation, and other high-impact AI workloads. You will collaborate closely with internal NVIDIA software and hardware teams to push the latest developments into NVIDIA products.
ROLE AND RESPONSIBILITIES:
- Design, build and optimize agentic AI systems for the CUDA ecosystem.
- Co-design agentic system solutions with software, hardware and algorithm teams; influence and adopt new capabilities as they become available.
- Develop reproducible, high-fidelity evaluation frameworks covering performance, quality and developer productivity.
- Collaborate across the AI stack—from hardware through compilers/toolchains, kernels/libraries, frameworks, distributed training, and inference/serving—and with model/agent teams.
BASIC QUALIFICATIONS:
- Bachelor’s degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); MS or PhD preferred.
- 3 years+ industry or academia experience with AI systems development; exposure to building foundational models, agents or orchestration frameworks; hands-on experience with deep learning frameworks and modern inference stacks.
- Strong C/C++ and Python programming skills; solid software engineering fundamentals.
- Experience with GPU programming and performance optimization (CUDA or equivalent).
PREFERRED QUALIFICATIONS:
- Strong experience in building/evaluating deep learning models, coding agents and developer tooling.
- Demonstrated ability to optimize and deploy high-performance models, including on resource-constrained platforms.
- Demonstrated ability in GPU performance optimizations, evidenced by benchmark wins or published results.
- Publications or open-source leadership in deep learning, multi-agent systems, reinforcement learning, or AI systems; contributions to widely used repos or standards.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 1, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
AI Engineer Job Roles in Texas
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Search AI Engineer Jobs in TexasAI Engineer Jobs in Texas: Frequently Asked Questions
Which companies sponsor visas for AI engineers in Texas?
Several large employers in Texas have established track records of sponsoring work visas for AI engineers. These include Dell Technologies and NXP Semiconductors in Austin, AT&T and Goldman Sachs in Dallas, and ExxonMobil and Hewlett Packard Enterprise in Houston. Beyond these, a significant number of AI-focused startups and cloud infrastructure companies across the state regularly file H-1B visa petitions for AI and machine learning roles.
Which visa types are most common for AI engineer roles in Texas?
The H-1B is the most common visa category for AI engineers in Texas, given that AI engineering consistently qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, machine learning, or a related field. Candidates from Australia may qualify for the E-3 visa, while Canadian and Mexican nationals often use TN visa status. Those with exceptional research or publication records sometimes pursue the O-1A.
Which cities in Texas have the most AI engineer sponsorship jobs?
Austin leads Texas for AI engineer sponsorship activity, anchored by a dense concentration of tech companies, semiconductor firms, and AI-focused startups. Dallas-Fort Worth is a close second, with major financial services, telecom, and enterprise software employers. Houston has a growing presence driven by energy-tech and healthcare AI applications. San Antonio also sees activity tied to cybersecurity and defense contractors with AI engineering needs.
How to find ai engineer visa sponsorship jobs in Texas?
Migrate Mate filters job listings specifically for visa sponsorship eligibility, making it straightforward to browse AI engineer roles in Texas without sifting through positions that won't support international candidates. You can narrow results by city, visa type, and employer. Given the volume of AI engineering roles across Austin, Dallas, and Houston, Migrate Mate is a practical starting point for identifying which Texas employers are actively hiring and sponsoring.
Are there any Texas-specific factors AI engineers should know about when pursuing visa sponsorship?
Texas has no state income tax, which affects how employers benchmark total compensation relative to DOL prevailing wage requirements for H-1B filings. The state's large university system, including UT Austin and Texas A&M, generates a significant domestic AI talent pipeline, meaning sponsored roles tend to require demonstrable specialization in areas like large language models, computer vision, or MLOps rather than general software engineering skills. Competition for sponsorship slots is concentrated in Austin and Dallas.
What is the prevailing wage for sponsored ai 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.