Principal AI Engineer Visa Sponsorship Jobs in Texas
Principal AI engineer roles in Texas are concentrated in Austin's tech corridor, Dallas-Fort Worth's enterprise technology sector, and Houston's energy-tech companies. Employers such as Dell Technologies, AT&T, ExxonMobil, and a growing number of AI-focused startups actively sponsor visas for this specialty occupation, making Texas one of the more active states for principal AI engineer hiring.
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Technology, Digital and Data
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Job Summary:
At Caterpillar, technology has a purpose to solve our customers' toughest challenges. Construction autonomy and Physical AI require trusted digital twins, high-fidelity simulation, scalable GPU computing, intelligent automation, and rigorous validation.
This Principal Engineer role is a hands-on technical leadership position responsible for architecture, critical implementation, engineering standards, cross-team alignment, and mentoring.
What You Will Do
- Define the architecture for agentic simulation and multi-agent engineering workflows, and build agents that interact with simulation engines, digital twins, APIs, datasets, and engineering tools.
- Lead automated map-to-simulation, site-to-simulation, scenario-generation, and experiment-planning workflows.
- Apply foundation models and multimodal AI to simulation configuration, monitoring, troubleshooting, analysis, and reporting.
- Establish tool calling, workflow state, memory, human approvals, guardrails, observability, and auditability, and create evaluation frameworks for accuracy, reliability, reproducibility, latency, cost, safety, and task completion.
- Integrate AI services with NVIDIA Omniverse, Isaac Sim, OpenUSD, Cosmos, databases, knowledge systems, and cloud services.
- Deploy and scale GPU inference and agent workloads on CoreWeave and Kubernetes.
- Own a major technical capability across multiple teams and programs, partnering across simulation, robotics, autonomy, controls, AI, data, cloud, product, and customer-facing organizations.
- Translate ambiguous business and engineering problems into scalable architectures and production software, balancing research and prototyping with secure, maintainable delivery.
- Lead architecture reviews, technical investigations, design decisions, and engineering standards.
- Mentor senior and developing engineers, and support technical hiring and onboarding.
Top Candidates will Have:
- Seven or more years of software development and three or more years developing ML, generative AI, or intelligent automation systems.
- Advanced software engineering experience in Python and one or more of C++, C#, Java, Go, or Node.js, with strong API, distributed systems, event-driven workflow, and backend services experience.
- Experience with containers, automated testing, CI/CD, source control, observability, and cloud platforms and cloud-native architectures, including Docker and Kubernetes.
- Experience designing and delivering production agentic AI, generative AI, or intelligent automation systems, including taking an AI-enabled capability from prototype through production.
- Experience with RAG, embeddings, vector search, knowledge graphs, semantic data models, structured outputs, and multimodal models.
- Experience with NVIDIA NIM, NeMo, Nemotron, or comparable foundation-model and inference ecosystems.
- Experience with NVIDIA Cosmos or comparable world foundation models for Physical AI, scenario generation, and simulation augmentation.
- Experience connecting AI agents to NVIDIA Omniverse, Isaac Sim, OpenUSD, or other simulation, robotics, scientific computing, or enterprise engineering platforms.
- Working knowledge of Newton, physics simulation, and robotics workflows sufficient to orchestrate and evaluate tool use.
- Experience with AI evaluation datasets, test harnesses, security controls, observability, and human-in-the-loop governance.
- Experience deploying GPU inference using Docker, Kubernetes, NVIDIA GPUs, and CoreWeave or comparable GPU cloud infrastructure.
- Demonstrated ability to lead architecture and technical delivery across multiple teams.
- Strong communication, mentoring, problem-solving, and cross-functional collaboration skills.
- Experience using AI-assisted development tools such as GitHub Copilot, Claude, or Cursor.
Preferred technology stack: NVIDIA Cosmos, NIM, NeMo, Nemotron, Omniverse, Isaac Sim, OpenUSD, Agentic AI, RAG, Python, CUDA, Docker, Kubernetes, and CoreWeave.
Additional Details:
This position requires the candidate to work full-time at the Irving, TX office (Dallas).
Domestic relocation assistance is available for this position.
Visa sponsorship is available with this position.
Summary Pay Range:
$159,120.00 - $258,570.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Benefits:
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.
- Medical, dental, and vision benefits*
- Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
- 401(k) savings plans*
- Health Savings Account (HSA)*
- Flexible Spending Accounts (FSAs)*
- Health Lifestyle Programs*
- Employee Assistance Program*
- Voluntary Benefits and Employee Discounts*
- Career Development*
- Incentive bonus*
- Disability benefits
- Life Insurance
- Parental leave
- Adoption benefits
-
Tuition Reimbursement
-
These benefits also apply to part-time employees
This position requires working onsite five days a week.
Relocation is available for this position.
Visa sponsorship is available for eligible applicants.
Posting Dates:
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
Not ready to apply? Join our Talent Community.
Career Area:
Technology, Digital and Data
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Job Summary:
At Caterpillar, technology has a purpose to solve our customers' toughest challenges. Construction autonomy and Physical AI require trusted digital twins, high-fidelity simulation, scalable GPU computing, intelligent automation, and rigorous validation.
This Principal Engineer role is a hands-on technical leadership position responsible for architecture, critical implementation, engineering standards, cross-team alignment, and mentoring.
What You Will Do
- Define the architecture for agentic simulation and multi-agent engineering workflows, and build agents that interact with simulation engines, digital twins, APIs, datasets, and engineering tools.
- Lead automated map-to-simulation, site-to-simulation, scenario-generation, and experiment-planning workflows.
- Apply foundation models and multimodal AI to simulation configuration, monitoring, troubleshooting, analysis, and reporting.
- Establish tool calling, workflow state, memory, human approvals, guardrails, observability, and auditability, and create evaluation frameworks for accuracy, reliability, reproducibility, latency, cost, safety, and task completion.
- Integrate AI services with NVIDIA Omniverse, Isaac Sim, OpenUSD, Cosmos, databases, knowledge systems, and cloud services.
- Deploy and scale GPU inference and agent workloads on CoreWeave and Kubernetes.
- Own a major technical capability across multiple teams and programs, partnering across simulation, robotics, autonomy, controls, AI, data, cloud, product, and customer-facing organizations.
- Translate ambiguous business and engineering problems into scalable architectures and production software, balancing research and prototyping with secure, maintainable delivery.
- Lead architecture reviews, technical investigations, design decisions, and engineering standards.
- Mentor senior and developing engineers, and support technical hiring and onboarding.
Top Candidates will Have:
- Seven or more years of software development and three or more years developing ML, generative AI, or intelligent automation systems.
- Advanced software engineering experience in Python and one or more of C++, C#, Java, Go, or Node.js, with strong API, distributed systems, event-driven workflow, and backend services experience.
- Experience with containers, automated testing, CI/CD, source control, observability, and cloud platforms and cloud-native architectures, including Docker and Kubernetes.
- Experience designing and delivering production agentic AI, generative AI, or intelligent automation systems, including taking an AI-enabled capability from prototype through production.
- Experience with RAG, embeddings, vector search, knowledge graphs, semantic data models, structured outputs, and multimodal models.
- Experience with NVIDIA NIM, NeMo, Nemotron, or comparable foundation-model and inference ecosystems.
- Experience with NVIDIA Cosmos or comparable world foundation models for Physical AI, scenario generation, and simulation augmentation.
- Experience connecting AI agents to NVIDIA Omniverse, Isaac Sim, OpenUSD, or other simulation, robotics, scientific computing, or enterprise engineering platforms.
- Working knowledge of Newton, physics simulation, and robotics workflows sufficient to orchestrate and evaluate tool use.
- Experience with AI evaluation datasets, test harnesses, security controls, observability, and human-in-the-loop governance.
- Experience deploying GPU inference using Docker, Kubernetes, NVIDIA GPUs, and CoreWeave or comparable GPU cloud infrastructure.
- Demonstrated ability to lead architecture and technical delivery across multiple teams.
- Strong communication, mentoring, problem-solving, and cross-functional collaboration skills.
- Experience using AI-assisted development tools such as GitHub Copilot, Claude, or Cursor.
Preferred technology stack: NVIDIA Cosmos, NIM, NeMo, Nemotron, Omniverse, Isaac Sim, OpenUSD, Agentic AI, RAG, Python, CUDA, Docker, Kubernetes, and CoreWeave.
Additional Details:
This position requires the candidate to work full-time at the Irving, TX office (Dallas).
Domestic relocation assistance is available for this position.
Visa sponsorship is available with this position.
Summary Pay Range:
$159,120.00 - $258,570.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Benefits:
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.
- Medical, dental, and vision benefits*
- Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
- 401(k) savings plans*
- Health Savings Account (HSA)*
- Flexible Spending Accounts (FSAs)*
- Health Lifestyle Programs*
- Employee Assistance Program*
- Voluntary Benefits and Employee Discounts*
- Career Development*
- Incentive bonus*
- Disability benefits
- Life Insurance
- Parental leave
- Adoption benefits
-
Tuition Reimbursement
-
These benefits also apply to part-time employees
This position requires working onsite five days a week.
Relocation is available for this position.
Visa sponsorship is available for eligible applicants.
Posting Dates:
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
Not ready to apply? Join our Talent Community.
Principal AI Engineer Job Roles in Texas
See all 45+ Principal AI Engineer Jobs in Texas
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Search Principal AI Engineer Jobs in TexasPrincipal AI Engineer Jobs in Texas: Frequently Asked Questions
Which companies sponsor visas for principal AI engineers in Texas?
Texas-based employers with active H-1B visa and green card sponsorship histories for senior AI roles include Dell Technologies, AT&T, Texas Instruments, ExxonMobil, and Oracle's Austin offices. A number of high-growth AI startups in Austin and Dallas-Fort Worth also sponsor, particularly those backed by venture capital. Reviewing DOL Labor Condition Application disclosure data by employer and job title helps confirm active sponsorship patterns before applying.
What visa types realistically apply to principal AI engineer roles in Texas?
Principal AI engineer roles qualify as specialty occupations requiring at least a bachelor's degree in computer science, electrical engineering, or a directly related field. Eligible visa pathways include the H-1B, the E-3 visa for Australian nationals, the H-1B1 visa for Chilean and Singaporean nationals, and the TN visa for Canadian and Mexican nationals who hold an engineering degree. EB-2 and EB-3 employment-based green cards are also common for this role, typically requiring PERM labor certification. F-1 OPT and STEM OPT can bridge the gap while a full sponsorship petition is filed.
Which Texas cities have the most principal AI engineer sponsorship jobs?
Austin leads Texas for principal AI engineer sponsorship activity, driven by its dense concentration of technology companies and a strong pipeline from the University of Texas. Dallas-Fort Worth follows closely, with large enterprise technology and financial services employers filing regularly. Houston contributes through energy-tech and healthcare-AI employers. San Antonio is a smaller but emerging market, particularly around cybersecurity and defense-adjacent AI work.
How to find principal ai engineer visa sponsorship jobs in Texas?
Migrate Mate lists principal AI engineer roles in Texas filtered to employers with verified visa sponsorship history, so you can focus applications on companies that have demonstrated willingness to file LCAs and petitions for this role type. Searching by city within Texas lets you target Austin, Dallas, or Houston specifically. Because principal AI engineer is a senior-level specialty occupation, Migrate Mate's sponsorship verification is particularly useful for cutting through postings that lack confirmed sponsorship intent.
Are there state-specific factors that affect principal AI engineer sponsorship in Texas?
Texas has no state income tax, which affects compensation benchmarking but does not change federal visa requirements. The University of Texas at Austin, Texas A&M, and UT Dallas produce substantial graduate-level AI and engineering talent, feeding employer pipelines that are already accustomed to sponsoring international candidates. Texas also hosts several major technology conferences and AI research centers, which can accelerate networking with employers who have established sponsorship programs for principal-level engineering roles.
What is the prevailing wage for sponsored principal 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.