H-1B Visa AI Automation Engineer Jobs
AI Automation Engineer jobs attract strong H-1B visa sponsorship because the role qualifies as a specialty occupation, requiring at least a bachelor's degree in computer science, software engineering, or a closely related field. Employers file a Labor Condition Application with DOL and an I-129 petition with USCIS, sponsoring you for an initial three-year status period.
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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.
See all H-1B Visa AI Automation Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa AI Automation Engineer Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as an AI Automation Engineer
Align your degree to automation engineering
USCIS evaluates whether your degree field directly relates to your job duties. A degree in computer science, software engineering, or electrical engineering maps cleanly. If yours is in a tangential field, gather official course transcripts showing AI or systems coursework before applications start.
Look up prevailing wages before negotiating
Your employer must certify your salary meets DOL prevailing wage requirements for your worksite location. Run the OFLC Wage Search using the correct SOC code for automation roles so you know the minimum before you negotiate and can flag any misclassification early.
Find sponsors through Migrate Mate
Target employers with verified H-1B LCA filing history in automation and AI roles. Migrate Mate lists those employers by role and location, so you're not cold-applying to companies that have never navigated H-1B sponsorship for engineering positions.
Confirm each worksite gets its own LCA
AI Automation Engineers often deploy at client sites or rotate across locations. Each new worksite requires its own certified LCA before you work there. Confirm with your employer's HR team that site-specific filings are part of their standard process, not an afterthought.
Review your O*NET profile before interviews
Employers and USCIS both reference O*NET when defining specialty occupation duties. Know which tasks and required knowledge areas appear there for your role so you can frame your experience in ways that reinforce the degree-level requirement throughout the hiring process.
Account for cap timing in your start date
H-1B cap selection rules have changed recently, affecting when cap-subject petitions can be filed and when status begins. Build at least several months of buffer into any expected start date and ask prospective employers directly whether they plan to file under cap or cap-exempt status.
H-1B Visa AI Automation Engineer: Frequently Asked Questions
Does an AI Automation Engineer role qualify as an H-1B specialty occupation?
Yes, the role typically qualifies. AI Automation Engineering requires theoretical and practical application of computer science, machine learning, and systems engineering, which USCIS recognizes as degree-level knowledge. Employers must document that the specific position requires at least a bachelor's degree in a directly related field, and most structured engineering roles meet that standard without additional argument.
Which SOC code do employers use for AI Automation Engineer LCA filings?
Most employers file under SOC 15-1252 (Software Developers) or 15-1299 (Computer Occupations, All Other), depending on how the role emphasizes software versus systems work. The SOC code determines the prevailing wage tier that USCIS and DOL apply, so confirming the correct classification before the LCA is filed protects your salary floor and avoids a resubmission.
How long does H-1B status last for an AI Automation Engineer?
H-1B status is initially granted for up to three years and can be extended to a six-year maximum. Extensions beyond six years are possible only if a PERM labor certification or I-140 immigrant petition has been filed and meets specific timing requirements. Discuss the long-term sponsorship plan with your employer before accepting an offer.
What happens if I work at multiple client sites as an AI Automation Engineer?
Every worksite location requires its own certified LCA on file before you begin work there. If your role involves rotating across client sites or project deployments, your employer must file separate LCAs for each location. Gaps in LCA coverage can jeopardize your status, so verify that your employer's immigration counsel tracks worksite changes proactively.
Where can I find employers actively sponsoring H-1B visas for AI Automation Engineer roles?
Migrate Mate lists employers with verified H-1B LCA filing history, searchable by role and location. This lets you focus on companies that have already built an H-1B sponsorship process for engineering positions rather than employers who may be open to sponsorship in theory but have never executed it for roles in automation or AI.