STEM OPT Automation Specialist Jobs
Automation Specialist roles in manufacturing, robotics, and process control are strong fits for F-1 students with STEM degrees in engineering, computer science, or related fields. Your 24-month STEM OPT extension applies here, and your employer must be enrolled in E-Verify to hire you under this authorization.
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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.
Help Build the Future of Caterpillar –
At Caterpillar, technology always has a purpose, which is to solve our customers’ toughest challenges. Through Cat Technology, we are solving problems by building the intelligence layer that connects machines, data, and people to make jobsites safer, more productive, and more sustainable. By combining deep domain expertise in physical systems with software, connectivity, autonomy, and AI, we deliver solutions that work in the real world—on real jobsites, at global scale.
You’ll build and deploy against one of the most unique data foundations—over 1.6 million connected assets generating real-world data daily. These data and platform capabilities are enabling the development of AI models, edge computing architectures, and software systems that scale across fleets, products, and industries. The result will be a new generation of machines that continuously learn, improve, and deliver performance at scale.
Be Part of What’s Next in Autonomous Construction Sites
Construction autonomy is one of the most complex challenges in applied AI, and at Caterpillar, advancements in physical AI, simulation, sensing, and edge computing are turning things that once felt impossible—intelligent machines operating in dynamic jobsites—into reality.
Our connected ecosystem brings together massive volumes of high-quality data to create a foundation where engineers like you can build and deploy against.
If this work motivates you, we invite you to join our team. In these roles, you’ll work at the intersection of the physical and digital worlds. You’ll help design and deliver intelligent systems that enable machines to perceive their environment, make informed decisions, and support safer, more productive operations.
Apply today to build the new era of construction autonomy at Caterpillar.
We are seeking a Lead AI Automation Engineer to provide technical leadership for a scrum team responsible for developing annotation automation solutions used to create training data for robotics, autonomy, computer vision, and Vision-Language-Action (VLA) systems.
This role combines software engineering, machine learning, and data engineering to build automated annotation and captioning capabilities for real-world heavy equipment and construction environments. You will help deploy and extend technologies such as NVIDIA Cosmos Curator and Cosmos Reason while also developing Caterpillar-specific AI models that enable automated labeling, automated captioning, and AI-driven quality assurance.
This is a hands-on technical leadership role focused on turning complex AI and data challenges into scalable production solutions.
- Lead the technical execution of a scrum team focused on annotation automation and AI-driven data production.
- Design, develop, and deploy automated labeling and captioning solutions for perception and VLA datasets.
- Train, fine-tune, and evaluate AI models to support auto-labeling, auto-captioning, and annotation quality automation.
- Build data pipelines and workflows that move datasets through automated labeling, human review, quality validation, and dataset publication.
- Implement and extend platforms such as NVIDIA Cosmos Curator, Cosmos Reason, and other emerging AI automation technologies.
- Develop solutions that integrate Caterpillar data systems with external annotation providers and human-in-the-loop workflows.
- Drive reliability, scalability, observability, and operational excellence across annotation automation services.
- Mentor engineers and provide day-to-day technical leadership for the team.
What Makes This Role Unique
Most AI automation solutions are not trained to understand heavy equipment, jobsites, sensor data, or machine operations. In this role, you'll help develop the AI capabilities needed to label and describe Caterpillar-specific data at scale. You'll work on challenges involving computer vision, multimodal AI, robotics, autonomy, and Vision-Language-Action systems while helping create the data foundation that powers the future of intelligent machines.
Basic Qualifications
- Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Robotics, or a related field.
- Experience leading technical delivery for software or AI engineering teams.
- Experience developing production-grade software solutions using Python and modern software engineering practices.
- Experience designing and implementing distributed systems, APIs, and data processing pipelines.
- Experience training, fine-tuning, or deploying machine learning models.
- Strong problem-solving skills and ability to work across multiple technical disciplines.
- 3+ years of experience generating and managing camera and LiDAR sensor datasets for perception or machine learning applications, including data collection pipeline design and ground truth generation.
- 3+ years of experience in data annotation and quality assurance for autonomous systems or computer vision projects, with demonstrated ability to define annotation guidelines, identify labeling defects, and drive measurable improvements in dataset accuracy.
- Experience using annotation and dataset management tools such as Labelbox, Supervisely, RoboFlow or similar toolchains.
- Experience using machine learning frameworks and training tools such as PyTorch, TensorFlow, ONNX, Weights & Biases, MLflow or similar frameworks.
Preferred Qualifications
- Experience with computer vision, robotics, autonomy, Physical AI, or multimodal AI systems.
- Experience with AI-assisted annotation, auto-labeling, or machine learning data pipelines.
- Experience training or fine-tuning foundation models, vision models, or multimodal models.
- Experience with NVIDIA Cosmos Curator, Cosmos Reason, or similar AI automation platforms.
- Experience with Vision-Language-Action (VLA) datasets and workflows.
- Experience with sensor data such as cameras, LiDAR, radar, or autonomous machine datasets.
- Experience with cloud platforms, MLOps, and machine learning deployment pipelines.
- Experience building human-in-the-loop AI workflows and quality automation systems.
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.
Why Caterpillar
You'll work on some of the most challenging applications of AI in the physical world, helping build systems that transform vast amounts of machine and sensor data into the intelligence that powers autonomous and AI-enabled equipment. If you're excited about applying AI to real-world machines operating in complex environments, we'd like to hear from you.
Summary Pay Range:
$128,470.00 - $208,770.00
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 507+ STEM OPT Automation Specialist Jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization as an Automation Specialist
Verify your CIP code covers automation
Your STEM OPT eligibility depends on your degree's CIP code mapping to a STEM-designated field. Electrical, mechanical, industrial, and computer engineering codes all qualify. Confirm your code with your DSO before applying, since a mismatch delays your I-983 approval.
Check E-Verify status before accepting offers
Your employer must be enrolled in E-Verify before your STEM OPT extension starts, not just at offer. Search the E-Verify employer search tool by company name to confirm active enrollment. A non-enrolled employer cannot legally onboard you under STEM OPT.
Target employers with active automation LCA filings
Companies that file Labor Condition Applications for automation or controls engineer roles have documented H-1B visa sponsorship pipelines. Use Migrate Mate to filter for employers with verified STEM OPT hiring history so your 36 months align with a realistic H-1B visa transition path.
Build an I-983 training plan around your role
Your I-983 must list specific learning objectives tied to your automation work, not generic job duties. Document skills like PLC programming, SCADA configuration, or robotics integration. Employers unfamiliar with STEM OPT often draft vague plans that USCIS flags during review.
Benchmark your offer against OFLC Wage Search data
STEM OPT doesn't require prevailing wage compliance the way H-1B does, but your I-983 requires that your compensation is commensurate with similarly situated U.S. workers. Pull the Level I and Level II wage for your SOC code using OFLC Wage Search before negotiating.
Identify cap-gap risk in your hiring timeline
If your employer files an H-1B petition before your OPT expires, cap-gap protects your authorization through September 30. Automation roles at large manufacturers often run 6-to-12-month hiring cycles, so align your application timeline to allow petition filing before your EAD end date.
Frequently Asked Questions
Does my engineering degree qualify me for STEM OPT as an Automation Specialist?
Most Automation Specialist roles accept degrees in electrical, mechanical, industrial, or computer engineering, all of which carry STEM-designated CIP codes. Your DSO confirms your specific code against the DHS STEM Designated Degree Program List. Degrees in automation technology or systems engineering also qualify if the CIP code appears on that list. Verify this before your DSO recommends the STEM OPT extension to USCIS.
What must my employer include in the I-983 training plan for an automation role?
Your I-983 must identify concrete learning objectives directly tied to your day-to-day automation work, such as PLC ladder logic development, motion control systems, or industrial network configuration. Vague descriptions like 'gaining engineering experience' are insufficient. The plan must also confirm your compensation matches similarly situated U.S. workers in the same occupation and geographic area, and your employer must agree to report material changes within five business days.
How do I confirm my employer is enrolled in E-Verify before my STEM OPT extension begins?
Use the E-Verify employer search tool on the E-Verify website to look up your employer by company name or EIN before your extension start date. Enrollment must be active, not pending. If your employer isn't yet enrolled, they can register directly through E-Verify, but the process takes time. Don't wait until your EAD arrives to check.
What happens to my STEM OPT authorization if my Automation Specialist employer loses E-Verify enrollment?
If your employer's E-Verify enrollment lapses or is terminated after your STEM OPT extension begins, your work authorization becomes invalid at that employer. USCIS requires continuous E-Verify enrollment throughout your employment period. You'd need to either find a new E-Verify-enrolled employer or stop working immediately. Your DSO must be notified within five business days of any material change to your employment.
Where can I find Automation Specialist jobs where employers are already set up to hire STEM OPT students?
Migrate Mate filters Automation Specialist listings by employers with active E-Verify enrollment and documented STEM OPT hiring history, so you're not cold-applying to companies that have never sponsored international students. Automation roles in manufacturing, energy, and industrial controls are well represented, and you can narrow by industry sector or company size to match your H-1B transition goals.