Machine Learning Engineer Visa Sponsorship Jobs in Texas
Texas is one of the top states for machine learning engineer visa sponsorship, with major hiring hubs in Austin, Dallas, and Houston. Employers like Dell Technologies, Texas Instruments, AT&T, and a growing cluster of AI-focused startups regularly sponsor international engineers. The state's tech sector spans semiconductor research, enterprise software, and energy-sector AI applications.
Find Machine Learning Engineer JobsOverview
Showing 5 of 93+ Machine Learning Engineer Jobs in Texas with Visa Sponsorship
See all 93+ Machine Learning Engineer Jobs in Texas with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Engineer Jobs in Texas with Visa Sponsorship.
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.
NVIDIA is looking for best-in-class ML/AI Physical Design Methodology Engineer to join our outstanding Networking Silicon engineering team, developing the industry's best high speed communication devices, delivering the highest throughput and lowest latency! Come and take part in crafting our groundbreaking and innovative chips, enjoy working in a meaningful, growing and professional environment where you make a significant impact in a technology-focused company.
ROLE AND RESPONSIBILITIES
- Architect, integrate, and deploy AI/ML-driven solutions into production physical design flows
- Key responsibility includes developing unique and creative solutions to the state-of-the-art physical design problems to improve PPA
- Knowledge and experience to formulate and develop with ML-based solutions
- Participate in developing flow and tool methodologies for P&R, timing analysis and closure, convergence in IR/Signal-EM, power and noise analysis and back-end verification across multiple projects along with chip floorplan, power and clock distribution, chip assembly
- Data based analysis and algorithmic solutions for PPA check and improvement
BASIC QUALIFICATIONS
- MS in Electrical, Computer Engineering, computer science (or equivalent experience)
- 5+ years’ experience in ML/AI based solution development
- Experience and ability to form and automate workflow
- Strong Python and Tcl programming skills with familiarity in ML frameworks
- Proven implementation of ML-based solutions
- Exposure of Physical Design workflows
NVIDIA is widely considered to be the leader of AI computing, and 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. If you're creative and autonomous, we want to hear from you.
COMPENSATION
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 17, 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.
NVIDIA is looking for best-in-class ML/AI Physical Design Methodology Engineer to join our outstanding Networking Silicon engineering team, developing the industry's best high speed communication devices, delivering the highest throughput and lowest latency! Come and take part in crafting our groundbreaking and innovative chips, enjoy working in a meaningful, growing and professional environment where you make a significant impact in a technology-focused company.
ROLE AND RESPONSIBILITIES
- Architect, integrate, and deploy AI/ML-driven solutions into production physical design flows
- Key responsibility includes developing unique and creative solutions to the state-of-the-art physical design problems to improve PPA
- Knowledge and experience to formulate and develop with ML-based solutions
- Participate in developing flow and tool methodologies for P&R, timing analysis and closure, convergence in IR/Signal-EM, power and noise analysis and back-end verification across multiple projects along with chip floorplan, power and clock distribution, chip assembly
- Data based analysis and algorithmic solutions for PPA check and improvement
BASIC QUALIFICATIONS
- MS in Electrical, Computer Engineering, computer science (or equivalent experience)
- 5+ years’ experience in ML/AI based solution development
- Experience and ability to form and automate workflow
- Strong Python and Tcl programming skills with familiarity in ML frameworks
- Proven implementation of ML-based solutions
- Exposure of Physical Design workflows
NVIDIA is widely considered to be the leader of AI computing, and 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. If you're creative and autonomous, we want to hear from you.
COMPENSATION
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 17, 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.
Machine Learning Engineer Job Roles in Texas
See all 93+ Machine Learning Engineer Jobs in Texas
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Machine Learning Engineer Jobs in TexasMachine Learning Engineer Jobs in Texas: Frequently Asked Questions
Which companies sponsor visas for machine learning engineers in Texas?
Several large Texas-based employers have consistent track records of sponsoring machine learning engineers, including Dell Technologies, Texas Instruments, AT&T, and ExxonMobil, which applies ML to energy operations. Austin's tech corridor also includes Amazon, Apple, and Google offices that sponsor international engineers. Defense contractors near Dallas-Fort Worth, such as Lockheed Martin and Raytheon, hire ML engineers and have sponsored work visas through their established immigration programs.
Which visa types are most common for machine learning engineer roles in Texas?
The H-1B visa is the most common visa category for machine learning engineers in Texas, as the role typically requires at least a bachelor's degree in computer science, statistics, or a related field, satisfying the specialty occupation standard. Some engineers transition from F-1 OPT or STEM OPT extensions, which can provide up to three years of work authorization before H-1B visa sponsorship. Candidates with extraordinary research profiles may also qualify for the O-1A.
Which cities in Texas have the most machine learning engineer sponsorship jobs?
Austin leads Texas for machine learning engineer sponsorship activity, driven by its concentration of tech company campuses and AI startups. Dallas-Fort Worth follows closely, with strong demand from financial services firms, defense contractors, and telecom companies like AT&T. Houston has growing demand tied to energy-sector AI and medical research at institutions like the Texas Medical Center. San Antonio has a smaller but active market, particularly in cybersecurity and government-adjacent tech.
How to find machine learning engineer visa sponsorship jobs in Texas?
Migrate Mate lets you filter machine learning engineer roles specifically by visa sponsorship availability and state, making it straightforward to surface Texas-based employers actively hiring international candidates. Because sponsorship willingness is not always listed in standard job postings, using a platform built around that filter saves significant time. Roles in Austin, Dallas, and Houston appear frequently, and filtering by STEM-focused employers increases the likelihood of finding companies with established H-1B programs.
Are there any Texas-specific considerations for machine learning engineers seeking visa sponsorship?
Texas has no state income tax, which affects the prevailing wage calculation employers use when filing a Labor Condition Application, as wages are benchmarked to the local metropolitan area rather than adjusted for state taxes. Universities like UT Austin, Texas A&M, and Rice have strong ML research pipelines that feed directly into Texas employer sponsorship programs, making campus recruiting a meaningful channel. Texas also has a high concentration of STEM OPT-eligible employers willing to bridge candidates to H-1B sponsorship.
What is the prevailing wage for sponsored machine learning 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.