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AI Algorithms SW Engineer (RDSS Intern)
View: 96
Update day: 05-11-2024
Location: Hsinchu City
Category: Other Internship / Entry level
Industry: Computer Hardware Manufacturing Software Development Computers Electronics Manufacturing
Position: Internship
Job type: Full-time
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Job content
NVIDIA is searching for Deep Learning algorithms architect to develop artificial intelligence (AI), computer vision algorithms and applications for our Metropolis for Factories and Manufacturing platforms. Artificial Intelligence is transforming how we collect, inspect, and analyze different kinds of sensor data that impacts everything from manufacturing automation, warehouse management, product inspections to safety workflows. NVIDIA Metropolis is leading this AI revolution, providing the tools, technologies, and expertise to meet every challenge with smarter, faster applications.This challenging role will require someone who deeply understands and can architect algorithms with Large Language and Multi-modal (LLM/LMM) Foundation models to advance the application of artificial intelligence and machine learning to the Manufacturing AI market. Practical experience in the use and the building of Computer Vision algorithms, models and tools will be critical.
What You’ll Be Doing
- You will be a key member of a growing software team that can architect, analyze, develop and prototype key deep learning algorithms and solutions.
- Work and collaborate with different software, research, and hardware teams across geographies for solving critical problems.
- Understand and analyze the interplay of hardware and software architectures on future applications.
- Support engagements with customers and their third-party software providers, collaboration with Product Managements, Marketing, and Developer Technology teams.
- MS or PhD in Computer Science, Computer Engineering or Electrical Engineering or related field in Deep Learning, Machine Learning and Computer Vision.
- Algorithm development experience data analytics, especially with LLM’s and Multi-Modal Foundation models
- Experience working with deep learning frameworks like TensorFlow and pyTorch.
- Strong communication skills.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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Deadline: 20-12-2024
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