Founded in October 1988, Samsung Research America (SRA) builds upon Samsung’s 40-year history in the Bay Area. Headquartered in Silicon Valley, with offices across the United States and Canada, SRA is engaged in researching emerging technology to create new businesses and developing core technology to enhance the competitiveness of Samsung products. We also play a key role in providing the infrastructure to support Samsung’s open innovation and university collaboration…
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Full company description
Founded in October 1988, Samsung Research America (SRA) builds upon Samsung’s 40-year history in the Bay Area. Headquartered in Silicon Valley, with offices across the United States and Canada, SRA is engaged in researching emerging technology to create new businesses and developing core technology to enhance the competitiveness of Samsung products. We also play a key role in providing the infrastructure to support Samsung’s open innovation and university collaboration activities.
LinkedIn followers
29,966
People associated on LinkedIn
843
Reported office locations
665 Clyde Avenue, Mountain View, California 94043, US
Other recorded names
Samsung Research America
Samsung Research America Internship
Samsung Research America (SRA)
Specialties
Scientific Research and Development Services
Computer Hardware
Computer Software
MPS
Think Tank Team
Digital Health
Research Science
Design
UX/UI
NEON
SRA
AI
Project Management
Human Resources
Video Display
Mobile
and Bixby
Profile identifies a recruitment agency
No
Industry
Software Development
Size
1,001-5,000 employees
Headquarters
Mountain View, California
Organization type
Public Company
Specialties
Scientific Research and Development ServicesComputer HardwareComputer SoftwareMPSThink Tank TeamDigital HealthResearch ScienceDesignUX/UINEON
Samsung Research America has 1 open jobs in Canada as of November 8, 2026. Top locations: Toronto.
10+ YOECandidates need a PhD in Computer Science, AI or equivalent, 10+ years of post-PhD advanced AI research leadership, and deep expertise in vision, multimodal and agentic AI. They must have a strong record of top-tier publications and hands-on skill with Python, C/C++ and PyTorch or TensorFlow.