Green Card Principal AI Engineer Jobs
Principal AI Engineer roles qualify for EB-2 green card sponsorship when the position requires an advanced degree in computer science, machine learning, or a related field. Employers file PERM labor certification with the Department of Labor before sponsoring permanent residency, and nationals from high-demand countries should factor priority-date backlogs into their timeline.
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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 648+ Green Card Principal AI Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card Principal AI Engineer Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship as a Principal AI Engineer
Align your degree to EB-2 requirements
EB-2 covers advanced-degree professionals, so a master's or PhD in machine learning, computer science, or AI strengthens your petition. If you hold a bachelor's plus five years of progressive AI experience, document each role carefully to satisfy the equivalent-degree standard.
Research employer PERM filing history
Target employers who have completed PERM labor certifications for Principal AI Engineer or comparable AI research roles before. Migrate Mate surfaces employers with verified green card sponsorship history by role, so you can prioritize outreach to companies already familiar with the process.
Get a prevailing wage determination early
Your employer must submit a prevailing wage request to OFLC before PERM recruitment begins. Use the OFLC Wage Search to look up the Level III or Level IV wage for your SOC code and metro area, so your offer letter aligns before the determination arrives.
Check the O*NET profile for your SOC code
PERM requires the job description to match the minimum requirements for the occupation. Review the O*NET profile for your role to confirm the duties, required education, and experience thresholds your employer lists in the job ad match what DOL expects.
File the I-140 concurrently where possible
Once PERM is certified, ask your employer to file the I-140 petition with USCIS promptly. If your priority date is current, concurrent I-485 filing may be available, reducing total wait time and letting you change jobs after 180 days under AC21 portability.
Track your priority date if you're from India or China
Per-country annual limits mean nationals of India and China in the EB-2 category can face extended backlogs before an I-485 or immigrant visa becomes available. Monitor the USCIS Visa Bulletin monthly and confirm your employer's willingness to maintain sponsorship through the full queue.
Green Card Principal AI Engineer: Frequently Asked Questions
Do Principal AI Engineer roles typically qualify for EB-2 or EB-3 green card sponsorship?
Most Principal AI Engineer positions qualify for EB-2 sponsorship because they require a master's degree or higher in a specialized field like machine learning or artificial intelligence. EB-3 professional sponsorship is also available if the role requires a bachelor's degree and the employer can demonstrate at least that credential is a minimum requirement in the job description.
How does green card sponsorship through PERM differ from H-1B sponsorship for AI engineers?
H-1B visa is a temporary nonimmigrant status tied to a specific employer, renewed in limited increments, and subject to an annual lottery. PERM-based EB-2 or EB-3 sponsorship leads to lawful permanent residence with no renewal requirement. The process involves a prevailing wage determination, a DOL-supervised recruitment test, and I-140 and I-485 filings with USCIS, without any lottery component.
How long does the PERM process take for a Principal AI Engineer role?
The PERM process involves a prevailing wage determination from OFLC, a recruitment period that typically runs at least 60 days, and DOL adjudication after filing. After PERM certification, your employer files the I-140 with USCIS. Nationals from certain countries, particularly India and China, may then face significant waits before a priority date becomes current, depending on annual per-country limits.
Where can I find employers who actively sponsor green cards for Principal AI Engineer roles?
Migrate Mate lists employers with verified employment-based green card sponsorship history, searchable by role and location. Focusing on employers with a track record of completing PERM certifications for AI or software engineering roles reduces the risk of a sponsorship commitment that stalls partway through the process.
Can I change jobs after my employer files my green card petition?
AC21 portability allows you to change employers once your I-485 adjustment of status application has been pending for 180 days or more, provided the new role is in the same or a similar occupational classification. Your approved I-140 priority date can carry over to a new employer's I-140 petition, preserving your place in the queue if the original I-140 was already approved by USCIS.