Green Card AI Automation Engineer Jobs
AI Automation Engineer green card sponsorship typically follows the EB-2 or EB-3 path, requiring your employer to complete PERM labor certification with the Department of Labor before filing an I-140 petition with USCIS. Per-country backlogs mean priority dates matter, so starting the process early is essential for nationals from high-demand countries.
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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 Green Card AI Automation Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card AI Automation Engineer Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship as an AI Automation Engineer
Align your credentials to EB-2 requirements
An advanced degree in computer science, electrical engineering, or a closely related field positions you for EB-2 sponsorship. If you hold only a bachelor's degree, document five years of progressive experience in AI pipeline design, robotic process automation, or similar work to satisfy the degree-plus-experience pathway.
Search employers with active PERM filing history
Use Migrate Mate to find employers who have filed PERM applications for AI and automation engineering roles. Targeting companies with verified green card sponsorship history saves time and signals genuine sponsorship intent before you invest in applications.
Verify your role meets prevailing wage requirements
Before accepting an offer, run your job title and location through the OFLC Wage Search to confirm the offered salary meets the DOL prevailing wage for your SOC code. Employers must pay at least the prevailing wage throughout the PERM process, so a low offer can stall or kill your case.
Review the O*NET profile for your occupation code
AI Automation Engineers typically file under a software or engineering SOC code. Cross-check your actual job duties against the O*NET occupation profile for that code before PERM is filed, because a mismatch between your duties and the certified position is a common reason for audits.
Ask employers about their PERM recruitment timeline
PERM requires employers to run a formal recruitment test, including job postings and documentation of applicant flow, before DOL certifies the application. Ask hiring managers whether they have an immigration counsel and an established PERM process, not just a willingness to sponsor, so you can gauge realistic timelines.
Secure your priority date and track retrogression
Your priority date is set when PERM is filed with DOL. Nationals of India and China routinely face multi-year backlogs in the EB-2 and EB-3 categories, so monitor the USCIS Visa Bulletin monthly and factor retrogression risk into any employer negotiation or career planning decision.
Green Card AI Automation Engineer: Frequently Asked Questions
What green card category applies to AI Automation Engineers?
Most AI Automation Engineer roles qualify under EB-2, which covers advanced-degree professionals or candidates with a bachelor's degree plus five years of progressive experience. Roles that require a bachelor's degree but not an advanced degree typically fall under EB-3. Your employer's immigration counsel will determine the correct category based on your specific job description and credentials.
How does the green card process differ from H-1B for this role?
Unlike H-1B visa, which is a temporary nonimmigrant status, green card sponsorship leads to lawful permanent residence with no renewal requirement. The employer must first complete PERM labor certification with the Department of Labor, documenting a formal recruitment test and a prevailing wage determination, then file an I-140 petition with USCIS. The process takes significantly longer than H-1B sponsorship, and per-country backlogs apply.
How do I find employers who sponsor green cards for AI Automation Engineers?
Migrate Mate lists employers with verified PERM filing history for engineering and automation roles, so you can target companies that have already demonstrated a willingness to sponsor permanent residence. This is more reliable than inferring sponsorship intent from job postings alone, which rarely specify whether an employer will support EB-2 or EB-3 sponsorship.
What happens to my green card case if I change jobs during the process?
If you switch employers before your I-485 adjustment of status application has been pending for 180 days, you generally need to restart the PERM process with the new employer. Once the I-485 has been pending 180 days or more, AC21 job portability allows you to move to a same or similar occupation without losing your place in line, and an approved I-140 priority date can often carry over to a new employer's petition.
Does the AI Automation Engineer job description affect PERM approval?
Yes. DOL audits PERM applications when the job duties, minimum requirements, or prevailing wage category appear inconsistent with the certified position. For AI automation roles, clearly tying requirements like specific programming languages, machine learning frameworks, or robotic process automation platforms to the degree requirement helps establish that the position genuinely qualifies as a specialty occupation under EB-2 or EB-3 standards.