Samsung Research America
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The Interaction Designer will create functional and aesthetically pleasing interfaces and services, focusing on user experience and employing research insights. This role involves working collaboratively across disciplines to develop product concepts and taking ideas from initial visualization to final delivery through various design processes including wireframing and prototyping.
The Lead SoC and System Power Architect will analyze and model new SoC architectures for mobile products, deliver power models, evaluate power trade-offs, and collaborate with various teams to enhance power management features across Galaxy devices.
The SOC Performance Engineer will develop benchmarks for SoC characterization concerning compute, memory, and power performance. The role involves analyzing data for new SoC architectures, collaborating across teams, and optimizing system performance for mobile products.
The role involves leading the design and implementation of advanced AR/VR experiences. Responsibilities include rapid prototyping, collaborating with design teams, defining long-term strategies for XR technologies, and securing intellectual properties for Samsung's XR products. The engineer will also provide insights and consult on the best use of XR input technology and novel UX models.
The Senior Full Stack Engineer will implement and maintain cloud-based services, collaborate with research teams to prototype new technologies, and design advanced projects for Knox B2B customers. They will work closely with architects and interface with product management, QA, and operations teams.
The UX Engineer will design and develop user experiences for XR and AI applications, collaborating with cross-functional teams. Responsibilities include creating user-centric interfaces, prototyping, and integrating UI/UX components. The role offers the chance to contribute to innovative projects in immersive technology.
The Staff Research Engineer will conduct research and development in generative AI and large language models for digital health applications. Responsibilities include creating proof-of-concepts, designing pilot studies, developing algorithms from sensor data, and generating patents and research papers.
The Manager of Open Innovation - Hardware is responsible for researching collaborations with external innovations in hardware. This role involves conducting in-depth analysis of the hardware ecosystem, developing actionable partnership strategies, and fostering relationships with startups and universities to promote innovative technology within Samsung's product offerings.
The Senior Research Engineer will lead the development of innovative algorithms based on sensor data, conduct data analysis, and prepare demos and proof-of-concept studies in mobile health systems. The role involves generating patents and scientific publications in the digital health domain.
The Manager of Open Innovation in Media Solutions is responsible for researching and developing external collaborations in next generation display and media technology, creating strategies to integrate innovative solutions within Samsung's product ecosystem, and facilitating partnerships with startups and universities to drive technology advancements relevant to consumer electronics.
The Lead SoC Performance Architect is responsible for creating performance models for new SoC architectures of Samsung Galaxy products. This involves analyzing hardware features and applications, mentoring team members, and collaborating with other engineering teams. The role requires strong modeling skills and experience with architecture analysis and various SoC components.
As a Senior Staff Engineer in NLP, you will develop and scale machine learning solutions for Bixby's NLU platform, collaborating with experts and focusing on creating predictive models, designing machine learning infrastructures, and optimizing natural language systems.
The Senior Researcher in AI/Vision Intelligence will conduct research in computer vision and multimodal machine learning, propose new features for Samsung products, and mentor interns. Responsibilities include tasks like visual question answering and object detection, with opportunities for publication in top-tier conferences.
The Investment Manager will develop investment strategies in AI, identify promising startups, conduct market analysis and due diligence, perform financial modeling, and negotiate terms. The role also includes partnering with portfolio companies and contributing to the firm's investment thesis in AI subsectors.
Partner Engineer for Android/Galaxy AI will manage Samsung Mobile collaborations, drive new mobile AI initiatives, and work with teams to define product features and requirements. Responsibilities include acting as Product Owner, validating business cases, and ensuring optimal project delivery.
The Staff Researcher will work on long-term AI and computer vision research specifically in multimodal tasks including visual question answering and representation learning, mentor other scientists, and publish research in top-tier conferences. They will collaborate with product teams to develop impactful features for Samsung devices.
The Senior Staff Research Engineer will lead innovative projects in generative AI and large language models, focusing on developing and validating digital health technologies. Responsibilities include preparing prototypes, executing pilot studies, and generating patents and scientific publications. The role emphasizes collaboration with project teams on dataset preparation and deployment of healthcare LLMs.
The Senior Staff Scientist in Generative AI will develop AI applications for Samsung devices, focusing on model finetuning, prompt engineering, and collaborative project management. They will stay abreast of AI advancements, implement on-device solutions, and manage project lifecycles from R&D to deployment.
The Principal Engineer will design and develop generative AI products and solutions, evaluating performance and making technological choices. Responsibilities include architecting AI systems, collaborating with cross-functional teams, and ensuring ethical AI practices.
The Lead SoC Architect will guide the development of GPU architecture and microarchitecture to enhance performance, power, and area in next-generation SoCs. Responsibilities include performance modeling, collaborating with teams to verify proposals, and communicating results across engineering audiences.