Intern – Computer Vision Engineer
Posted on 11/30/2023
INACTIVE
Samsung

10,001+ employees

One of the world's largest producers of electronic devices
Company Overview
Samsung's mission is to devote its talent and technology to creating superior products and services that contribute to a better global society. Samsung produces a wide range of electronic devices and is ranked as a top 10 global brand.

Company Stage

Seed

Total Funding

$100M

Founded

1969

Headquarters

Suwon-si, South Korea

Growth & Insights
Headcount

6 month growth

0%

1 year growth

9%

2 year growth

5%
Locations
San Diego, CA, USA
Experience Level
Intern
Desired Skills
Computer Vision
CategoriesNew
AI & Machine Learning
Requirements
  • A graduate student pursuing a Ph.D. or Master's degree in Engineering, Computer Science or Applied Math from a reputable university with a strong academic standing is preferred.
  • Strong problem-solving abilities and the capacity to innovate, with a proven history of addressing complex challenges effectively.
  • Demonstrated ability to collaborate effectively with cross-functional teams, fostering a culture of teamwork and knowledge sharing.
  • Excellent documentation and communication skills, including the capability to clearly convey complex technical concepts.
  • Experience in optimizing the performance of applications for mobile devices, including TPU/NPU/GPU acceleration and resource efficiency.
  • Willingness to actively share knowledge and support the growth and development of the team, contributing to a culture of continuous learning.
  • A commitment to staying updated with the latest advancements and trends in NeRF and mobile application development, and the ability to integrate new insights into projects.
  • A proven track record of bringing fresh and innovative ideas to the team, which have positively impacted projects and the organization.
Responsibilities
  • Collaborate with our team of experienced engineers to design and develop NeRF (Neural Radiance Fields) applications for mobile devices.
  • Investigate and experiment with NeRF technology to improve real-world applications, regularly reporting findings to the team.
  • Work closely with mobile developers to optimize NeRF applications for efficient resource usage and real-time performance.
  • Integrate NeRF capabilities with our Simultaneous Localization and Mapping (SLAM) systems to fuse spatial data seamlessly.
  • Collaborate on performance tuning, leveraging possible NPU/GPU acceleration and other techniques to ensure fast and reliable NeRF experiences on mobile devices.
  • Generate clear and comprehensive documentation to facilitate knowledge transfer within the team, including best practices and implementation guidelines for NeRF.
  • Conduct thorough testing and validation of NeRF applications.
  • Keep up to date with the latest advancements in NeRF and mobile application development, and actively contribute innovative ideas to the organization
  • Complete other responsibilities as assigned.
Desired Qualifications
  • Inclusive, adapting your style to the situation and diverse global norms of our people.
  • An avid learner, approaching challenges with curiosity and resilience, seeking data to help build understanding.
  • Collaborative, building relationships, humbly offering support and openly welcoming approaches.
  • Innovative and creative, proactively exploring new ideas and adapting quickly to change.