Research Scientist Visa Sponsorship Jobs in Pennsylvania
Pennsylvania is a strong state for research scientist roles, with major employers spanning pharmaceutical giants like Merck and GSK in the Philadelphia suburbs, academic medical centers such as UPMC and Penn Medicine, and university research hubs at Penn State and Carnegie Mellon. Philadelphia and Pittsburgh anchor most sponsorship activity, drawing international talent across life sciences, materials science, and computer science.
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Company Description
We Are Bosch.
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.
Let’s grow together, enjoy more, and inspire each other. Work #LikeABosch
- Reinvent yourself: At Bosch, you will evolve.
- Discover new directions: At Bosch, you will find your place.
- Balance your life: At Bosch, your job matches your lifestyle.
- Celebrate success: At Bosch, we celebrate you.
- Be yourself: At Bosch, we value values.
- Shape tomorrow: At Bosch, you change lives.
The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Cambridge, Massachusetts is a part of the global Bosch Group, a company with over 90 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America provides technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence (for example, human-assisted AI, natural language processing, robotics, 3D perception, and AI platform), energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.
The Bosch Research and Technology Center in Pittsburgh, PA is focused on the research and development of cutting-edge AI and sensing technologies that will shape the future of the company's products. This position is part of an ambitious effort to design and develop intelligent multi-modal sensing at the intersection of deep learning and signal processing, with diverse application domains ranging from physical security to intelligent and connected vehicles.
Job Description
Originating from Bosch AI research in Pittsburgh, we are responsible for pushing the boundaries of signal sensing and multimodal models through key innovations to solve complex industry problems and shape the future of Bosch products and services for both internal and external users. We work with internal partners of different Bosch business units to transfer our solutions into future products. We also actively collaborate with leading groups in academia and industry to promote research ideas and publish research findings in internationally renowned conferences and journals.
In this position, you are expected to:
- Develop and lead research projects focusing on multi-sensor data fusion, including acoustic, vibration, radar, lidar, image, Wi-Fi, time series, and ultrasound data, to improve sensing capabilities in autonomous driving vehicles, predictive maintenance in manufacturing processes, and next generation smart home devices, leading to enhanced safety, efficiency, and user experience.
- Design, build, train, evaluate multi-modal deep-learning models that leverage sensor signals, and work together with several business units within Bosch to transfer research artifacts into products and processes.
- Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions.
- Stay abreast of the latest technological innovations, document and disseminate research findings through high-caliber publications and/or patent submissions.
Qualifications
Basic Qualifications
- Ph.D in Computer Science, Electrical Engineering, Information Technology or a related discipline OR Masters degree with 2-3 years of preferred professional experience
- In-depth experience in signal processing for sensor data and their integration with deep-learning methods.
- Proficiency in Python, PyTorch (including libraries such as torchaudio, torchvision, torchmetrics), familiarity with PyTorch Lightning.
- A strong publication record in relevant venues such as ICASSP, InterSpeech, WASPAA, SenSys, IPSN, ICCPS, ICML, ICLR, ICRA, CVPR, ICCV, ECCV, NeurIPS, or equivalent contributions to the field such as patents or significant open-source projects.
- Strong interpersonal, communication, and teamwork capabilities.
Preferred Qualifications
- 3+ years of experience in industrial research.
- Proficiency with version control systems (Git), integrated development environment (VSCode or PyCharm) and experience with experiment tracking tools (MLFlow).
- Familiarity with high-performance computing (HPC) systems and job schedulers (Slurm, LSF).
- Hands-on experience in product development in the above-mentioned areas for consumer/enterprise markets.
- Experience leading projects with small teams, demonstrating the ability to mentor junior researchers and interns, manage project timelines, and deliver results within time constraints.
Additional Information
Equal Opportunity Employer, including disability / veterans.
Please note that employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.

Company Description
We Are Bosch.
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.
Let’s grow together, enjoy more, and inspire each other. Work #LikeABosch
- Reinvent yourself: At Bosch, you will evolve.
- Discover new directions: At Bosch, you will find your place.
- Balance your life: At Bosch, your job matches your lifestyle.
- Celebrate success: At Bosch, we celebrate you.
- Be yourself: At Bosch, we value values.
- Shape tomorrow: At Bosch, you change lives.
The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Cambridge, Massachusetts is a part of the global Bosch Group, a company with over 90 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America provides technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence (for example, human-assisted AI, natural language processing, robotics, 3D perception, and AI platform), energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.
The Bosch Research and Technology Center in Pittsburgh, PA is focused on the research and development of cutting-edge AI and sensing technologies that will shape the future of the company's products. This position is part of an ambitious effort to design and develop intelligent multi-modal sensing at the intersection of deep learning and signal processing, with diverse application domains ranging from physical security to intelligent and connected vehicles.
Job Description
Originating from Bosch AI research in Pittsburgh, we are responsible for pushing the boundaries of signal sensing and multimodal models through key innovations to solve complex industry problems and shape the future of Bosch products and services for both internal and external users. We work with internal partners of different Bosch business units to transfer our solutions into future products. We also actively collaborate with leading groups in academia and industry to promote research ideas and publish research findings in internationally renowned conferences and journals.
In this position, you are expected to:
- Develop and lead research projects focusing on multi-sensor data fusion, including acoustic, vibration, radar, lidar, image, Wi-Fi, time series, and ultrasound data, to improve sensing capabilities in autonomous driving vehicles, predictive maintenance in manufacturing processes, and next generation smart home devices, leading to enhanced safety, efficiency, and user experience.
- Design, build, train, evaluate multi-modal deep-learning models that leverage sensor signals, and work together with several business units within Bosch to transfer research artifacts into products and processes.
- Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions.
- Stay abreast of the latest technological innovations, document and disseminate research findings through high-caliber publications and/or patent submissions.
Qualifications
Basic Qualifications
- Ph.D in Computer Science, Electrical Engineering, Information Technology or a related discipline OR Masters degree with 2-3 years of preferred professional experience
- In-depth experience in signal processing for sensor data and their integration with deep-learning methods.
- Proficiency in Python, PyTorch (including libraries such as torchaudio, torchvision, torchmetrics), familiarity with PyTorch Lightning.
- A strong publication record in relevant venues such as ICASSP, InterSpeech, WASPAA, SenSys, IPSN, ICCPS, ICML, ICLR, ICRA, CVPR, ICCV, ECCV, NeurIPS, or equivalent contributions to the field such as patents or significant open-source projects.
- Strong interpersonal, communication, and teamwork capabilities.
Preferred Qualifications
- 3+ years of experience in industrial research.
- Proficiency with version control systems (Git), integrated development environment (VSCode or PyCharm) and experience with experiment tracking tools (MLFlow).
- Familiarity with high-performance computing (HPC) systems and job schedulers (Slurm, LSF).
- Hands-on experience in product development in the above-mentioned areas for consumer/enterprise markets.
- Experience leading projects with small teams, demonstrating the ability to mentor junior researchers and interns, manage project timelines, and deliver results within time constraints.
Additional Information
Equal Opportunity Employer, including disability / veterans.
Please note that employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.
Research Scientist Job Roles in Pennsylvania
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Search Research Scientist Jobs in PennsylvaniaResearch Scientist Jobs in Pennsylvania: Frequently Asked Questions
Which companies sponsor visas for research scientists in Pennsylvania?
Pennsylvania's largest research scientist sponsors include Merck, GSK, and Johnson and Johnson in the Greater Philadelphia area, alongside UPMC, Carnegie Mellon University, and the University of Pennsylvania in Pittsburgh and Philadelphia. National labs and contract research organizations operating in the state, including Drexel University affiliates and Penn State research centers, also have established sponsorship histories for research scientist positions.
Which visa types are most common for research scientist roles in Pennsylvania?
The H-1B is the most common visa for research scientists in Pennsylvania, covering roles that require at least a bachelor's degree in a specific scientific field. Postdoctoral researchers often enter on J-1 exchange visitor visas through university programs. Candidates with exceptional records in their field may qualify for the O-1A, and employer-sponsored permanent residence through the EB-1 or EB-2 NIW categories is common for senior research scientists at large institutions.
Which cities in Pennsylvania have the most research scientist sponsorship jobs?
Philadelphia and its surrounding suburbs, including King of Prussia, Malvern, and Upper Gwynedd, account for the majority of research scientist sponsorship jobs in Pennsylvania, driven by one of the densest pharmaceutical corridors in the country. Pittsburgh is the second-largest hub, with strength in robotics, AI, and biomedical research tied to Carnegie Mellon, the University of Pittsburgh, and UPMC. State College and Bethlehem see smaller but consistent activity through Penn State and Lehigh University.
How to find research scientist visa sponsorship jobs in Pennsylvania?
Migrate Mate filters job listings specifically for roles that include visa sponsorship, making it straightforward to search for research scientist positions in Pennsylvania without sorting through listings that exclude international candidates. You can narrow results by city, scientific discipline, and visa type. Because sponsorship availability is often not stated clearly in job postings, using a dedicated platform like Migrate Mate saves significant time during a targeted job search.
Are there any Pennsylvania-specific factors research scientists should know about for visa sponsorship?
Pennsylvania's concentration of pharmaceutical, biotech, and academic research employers means many organizations have established immigration programs and experienced HR teams familiar with H-1B and J-1 processes. The Philadelphia region's proximity to major research universities creates a strong pipeline that employers actively draw from. Research scientists pursuing permanent residence through the EB-2 National Interest Waiver may find the academic and industry publication records common in these roles well-suited to that pathway.
What is the prevailing wage for sponsored research scientist 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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