Software Engineer AI Visa Sponsorship Jobs in Pennsylvania
Pennsylvania's AI engineering market is anchored by Philadelphia and Pittsburgh, where employers like Comcast, Siemens, Carnegie Mellon University spin-offs, and a growing cluster of healthcare technology firms actively hire software engineers working on AI systems. Many of these organizations have established H-1B sponsorship programs, making Pennsylvania a realistic target for international candidates pursuing AI-focused engineering roles.
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At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.
Position Overview
We are looking for a Software Engineer to work at the forefront of deploying our cutting-edge AI models, enhancing the performance and capabilities of our embodied systems. You will be responsible for optimizing AI inference processes from lightweight to billion-parameter models, ensuring our robots operate with unmatched efficiency and intelligence in real-world environments. You will work at the intersection of systems and machine learning, directly contributing to making our AI models more powerful and adaptive by ensuring consistent performance in light of variable and perhaps unforeseen compute and hardware constraints.
Responsibilities
- Develop and optimize runtime AI inference pipelines for real-world robotic deployment.
- Build infrastructure, frameworks, and tooling to enable reliable integration of models into robotic systems and informative analysis of production models to drive the direction of architecture choice and deployment system design.
- Formulate specialized optimization solutions for various inference paradigms and scenarios (autoregressive models, denoising models, hierarchical models, state machines, multi-agent systems, cloud-based inference).
- Adapt optimization solutions to various compute, hardware, and networking constraints.
BASIC QUALIFICATIONS
- BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
- Minimum of 3 years of industry experience.
- Proficiency developing in low-level systems languages (C, C++, Rust, Go), Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
- Deep understanding and practical experience with low-level systems concepts (multithreading, networking, embedded systems, memory management).
- Experience with CUDA.
- Deep understanding of state-of-the-art machine learning techniques and models.
- Experience optimizing various machine learning architectures.
- Experience with machine learning compilers.
- Experience optimizing model inference for robotic systems deployment.
COMPENSATION
- Base Salary Range: $100,000 USD - $300,000 USD
Company Overview
At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.
Position Overview
We are looking for a Software Engineer to work at the forefront of deploying our cutting-edge AI models, enhancing the performance and capabilities of our embodied systems. You will be responsible for optimizing AI inference processes from lightweight to billion-parameter models, ensuring our robots operate with unmatched efficiency and intelligence in real-world environments. You will work at the intersection of systems and machine learning, directly contributing to making our AI models more powerful and adaptive by ensuring consistent performance in light of variable and perhaps unforeseen compute and hardware constraints.
Responsibilities
- Develop and optimize runtime AI inference pipelines for real-world robotic deployment.
- Build infrastructure, frameworks, and tooling to enable reliable integration of models into robotic systems and informative analysis of production models to drive the direction of architecture choice and deployment system design.
- Formulate specialized optimization solutions for various inference paradigms and scenarios (autoregressive models, denoising models, hierarchical models, state machines, multi-agent systems, cloud-based inference).
- Adapt optimization solutions to various compute, hardware, and networking constraints.
BASIC QUALIFICATIONS
- BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
- Minimum of 3 years of industry experience.
- Proficiency developing in low-level systems languages (C, C++, Rust, Go), Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
- Deep understanding and practical experience with low-level systems concepts (multithreading, networking, embedded systems, memory management).
- Experience with CUDA.
- Deep understanding of state-of-the-art machine learning techniques and models.
- Experience optimizing various machine learning architectures.
- Experience with machine learning compilers.
- Experience optimizing model inference for robotic systems deployment.
COMPENSATION
- Base Salary Range: $100,000 USD - $300,000 USD
Software Engineer AI Job Roles in Pennsylvania
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Search Software Engineer AI Jobs in PennsylvaniaSoftware Engineer AI Jobs in Pennsylvania: Frequently Asked Questions
Which companies sponsor visas for software engineer AIs in Pennsylvania?
Comcast, Siemens, SAP, and large healthcare systems like UPMC and Jefferson Health have consistent H-1B sponsorship histories for AI and machine learning engineering roles in Pennsylvania. Pittsburgh's robotics and autonomous systems sector, anchored by companies near Carnegie Mellon University, also produces regular sponsorship filings. Checking OFLC disclosure data lets you verify which employers have filed Labor Condition Applications for AI-related titles in the state.
Which visa types are most common for software engineer AI roles in Pennsylvania?
The H-1B is the most common visa for AI software engineering roles in Pennsylvania, as these positions typically qualify as specialty occupations requiring at least a bachelor's degree in computer science, machine learning, or a related field. Candidates already in the U.S. on F-1 OPT or STEM OPT extension may also work for sponsoring employers before transitioning to H-1B status. The O-1A is an option for those with demonstrable extraordinary achievement in AI research or development.
Which cities in Pennsylvania have the most software engineer AI sponsorship jobs?
Pittsburgh and Philadelphia account for the majority of AI engineering sponsorship activity in Pennsylvania. Pittsburgh's concentration of university research institutions, robotics startups, and technology centers makes it particularly active for AI roles. Philadelphia draws sponsorship from enterprise technology, financial services, and healthcare IT employers. Smaller but growing pockets of AI hiring exist in the Lehigh Valley corridor, often tied to manufacturing automation and logistics technology companies.
How to find software engineer ai visa sponsorship jobs in Pennsylvania?
Migrate Mate filters job listings specifically for visa sponsorship availability, making it straightforward to search for software engineer AI roles in Pennsylvania without sorting through positions that don't offer sponsorship. You can narrow results by state and role type to surface employers in Pittsburgh and Philadelphia who have active AI engineering openings and a history of sponsoring international candidates. This saves significant time compared to manually cross-referencing job postings with H-1B disclosure records.
Are there any Pennsylvania-specific factors that affect visa sponsorship for AI software engineers?
Pennsylvania's university pipeline, particularly Carnegie Mellon University and the University of Pennsylvania, creates a steady supply of AI talent and a culture of sponsorship among employers accustomed to hiring international graduates. Prevailing wage requirements for H-1B petitions apply based on the job's location and duties, so positions in Pittsburgh and Philadelphia are benchmarked against local wage data for AI and machine learning titles. Pennsylvania's healthcare and financial services sectors also sponsor at higher rates than some other industries nationally.
What is the prevailing wage for sponsored software engineer ai 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.
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