Artificial Intelligence Green Card Sponsorship Jobs in Pennsylvania
Green Card sponsorship jobs in artificial intelligence are active across Pennsylvania, with major employers in Philadelphia, Pittsburgh, and the broader tech corridor. Companies like Google, Meta, and CMU-affiliated startups regularly sponsor AI professionals through EB-2 and EB-3 pathways. Pennsylvania's research universities and growing AI ecosystem make it a competitive but opportunity-rich state for sponsored roles.
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About us
Burro is the leading robotics company in the world by number of robots working outdoors in the field with real customers. Our mission is to free people from tedious work and solve the critical labor shortages faced by farmers and others that work outdoors.
To accomplish our mission, we need a world-class, diverse team where everyone feels comfortable sharing their ideas. With this in mind, we strive to create a work environment where every employee can be themselves and express their perspective – this enables us to deliver the most creative and innovative solutions to problems our customers face.
Headquartered in Philadelphia with an office in central California, and backed by top Agtech and autonomy investors, including S2G, Cibus, FPrime, Toyota Ventures, FFVC, Xplorer, and Radicle, Burro was created to solve the labor shortages facing farmers using robotics.
We are seeking a Senior Robotics AI Engineer with strong applied machine learning and robotics experience to own and evolve the intelligence behind robot perception and navigation across complex indoor and outdoor sites. This is a hands-on, production focused role where you will design, deploy, optimise and maintain AI systems that directly impact how our robot perceive, reason and move.
The ideal candidate will have a strong grasp of robotics and software engineering fundamentals, along with proven experience in deploying AI accelerated solutions in production environments.
Responsibilities
- Own the development and productionization of ML systems, including model design, training, fine tuning, optimization, deployment and continuous improvement.
- Develop and adapt models across multimodal inputs (e.g., camera, LiDAR) and other AI domains as product needs evolve.
- Integrate ML outputs into the robotics stack, ensuring reliable performance under real-time and hardware constraints.
- Investigate customer reported issues and drive root-cause analysis to improve system robustness.
- Build and improve infrastructure for rapid experimentation, model iteration, evaluation and deployment.
- Improve and scale data collection, labeling, preprocessing and validation pipelines to ensure high-quality training datasets.
- Implement robust simulation and field testing workflows, along with production monitoring to detect drift and performance degradation.
- Collaborate cross-functionally with Product and Engineering to translate requirements into scalable AI solutions.
Basic Qualifications
- Master’s degree or PhD in Robotics, Computer Science or a related technical field.
- 4+ years of professional experience in developing software for robotics and machine learning.
- Strong proficiency in Python and C++.
- Experience using ML frameworks like TensorFlow, PyTorch, or similar.
- Proven experience building, deploying and maintaining ML models in production, ideally on edge systems.
- Hands-on experience working with camera and LiDAR data for perception and navigation tasks.
- Experience with ML optimization and acceleration tools (e.g., TensorRT), including familiarity with quantization, pruning and other model compression techniques.
- Strong problem solving mindset and comfort working across system boundaries.
- Ability to clearly communicate complex advanced concepts to both technical and non-technical stakeholders.
- Continual learning mindset and staying updated with the latest ML research and methodologies.
Nice To Haves
- MLOps Experience (experiment tracking, dataset versioning).
- Proficiency in ROS.
- Familiarity with Docker, Linux and production infrastructure environments.
Perks
- Competitive salary and benefits package (medical/dental/vision).
- Early-Stage Equity.
- 401K Plan.
- Unlimited PTO.
- Paid parental leave.
$160,000 - $180,000 a year
RECRUITERS: We are not accepting agency resumes for this position. Please do not forward or submit resumes through our website or to any of our employees directly. Burro is not responsible for any fees related to unsolicited resumes from recruitment agencies.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Green Card Artificial Intelligence Job Roles in Pennsylvania
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Search Artificial Intelligence Jobs in PennsylvaniaArtificial Intelligence Green Card Sponsorship Jobs in Pennsylvania: Frequently Asked Questions
Which artificial intelligence companies sponsor Green Card visas in Pennsylvania?
Several large employers with Pennsylvania operations sponsor Green Cards for AI roles, including Google's Pittsburgh office, Comcast Technology Solutions in Philadelphia, and IBM. University-affiliated research institutions such as Carnegie Mellon University also sponsor AI researchers and engineers. Defense contractors like Lockheed Martin and Siemens, both with Pennsylvania presences, sponsor AI talent through EB-2 and EB-3 categories as well.
Which cities in Pennsylvania have the most artificial intelligence Green Card sponsorship jobs?
Pittsburgh and Philadelphia account for the majority of AI Green Card sponsorship activity in Pennsylvania. Pittsburgh's identity as a global AI research hub, anchored by Carnegie Mellon University and a dense cluster of robotics and machine learning companies, drives significant sponsorship demand. Philadelphia contributes through its healthcare AI sector, fintech firms, and large enterprise technology employers headquartered in the region.
What types of artificial intelligence roles typically qualify for Green Card sponsorship in Pennsylvania?
Roles that commonly qualify include machine learning engineer, data scientist, AI research scientist, computer vision engineer, and natural language processing specialist. These positions generally fall under specialty occupation requirements for EB-2 or EB-3 classification, requiring at least a bachelor's degree in a directly related field such as computer science, statistics, or electrical engineering. Senior research roles with advanced degrees may qualify for EB-2 NIW consideration.
How do I find artificial intelligence Green Card sponsorship jobs in Pennsylvania?
Migrate Mate is built specifically for this search, letting you filter by visa type, state, and industry to surface verified AI roles with Green Card sponsorship in Pennsylvania. This saves significant time compared to manually screening job postings that rarely clarify sponsorship availability upfront. Migrate Mate's Pennsylvania AI listings include roles across Pittsburgh and Philadelphia from employers with documented sponsorship histories.
Are there any Pennsylvania-specific considerations for Green Card sponsorship in artificial intelligence?
Pennsylvania's concentration of AI activity around Carnegie Mellon University in Pittsburgh means many sponsoring employers are research-oriented, which can make EB-2 National Interest Waiver pathways more relevant than in other states. The state also has a notable healthcare AI sector in Philadelphia where employers like Penn Medicine and Jefferson Health sponsor foreign nationals. PERM labor certification timelines and employer-specific legal resources vary, so working with a qualified immigration attorney is advisable.
What is the prevailing wage for Green Card artificial intelligence jobs in Pennsylvania?
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.