Machine Learning Visa Sponsorship Jobs in Texas
Texas is one of the most active states for machine learning hiring, with major employers including Google, Meta, Amazon, and Dell Technologies operating across Austin, Dallas, and Houston. The state's fast-growing tech corridor and energy sector create consistent demand for ML engineers and researchers who need visa sponsorship.
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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.
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 Job Roles in Texas
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Search Machine Learning Jobs in TexasMachine Learning Jobs in Texas: Frequently Asked Questions
Which companies sponsor visas for machine learning roles in Texas?
Several large employers in Texas have established records of sponsoring work visas for machine learning talent. These include Google and Meta in Austin, AT&T and Goldman Sachs in Dallas, and ExxonMobil and Schlumberger in Houston, which apply ML to energy data problems. Large defense contractors such as Raytheon and Lockheed Martin also hire ML engineers in the Dallas-Fort Worth area, though some roles require U.S. citizenship.
Which visa types are most common for machine learning jobs in Texas?
The H-1B visa is the most common visa category for machine learning roles in Texas, as ML engineer and data scientist positions consistently qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with extraordinary ability may pursue the O-1A. Australians working in ML may qualify for the E-3 visa, and Canadian and Mexican nationals may explore TN visa status under the USMCA mathematician or computer systems analyst categories.
Which cities in Texas have the most machine learning sponsorship jobs?
Austin concentrates the largest share of ML sponsorship opportunities in Texas, driven by a dense cluster of tech companies and the presence of UT Austin's strong computer science program. Dallas-Fort Worth is a close second, with significant activity in financial services, telecom, and defense. Houston adds meaningful volume through energy-sector applications of ML, particularly in predictive maintenance, seismic analysis, and supply chain optimization.
How to find machine learning visa sponsorship jobs in Texas?
Migrate Mate is built specifically for international job seekers and filters machine learning roles in Texas by visa sponsorship status, so you're only seeing employers actively open to sponsoring. You can filter by city, visa type, and role to narrow results quickly. Because ML is a high-demand field in Texas, new sponsored positions are posted regularly across Austin, Dallas, and Houston, making it worth checking Migrate Mate consistently rather than in a single session.
Are there any Texas-specific considerations for machine learning visa sponsorship?
Texas has no state income tax, which affects prevailing wage comparisons under H-1B Labor Condition Applications since take-home pay differs from states with income tax. The Department of Labor sets prevailing wages by metropolitan area, so rates in Austin, Dallas, and Houston each differ. UT Austin, Rice University, and Texas A&M produce significant ML research talent, meaning local university hiring pipelines are active and some roles are tied to research lab positions that carry their own visa sponsorship structures.
What is the prevailing wage for sponsored machine learning 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.