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Global Mobility Intern, AI Software Engineer

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Software Engineering
  • San Diego

Requirements

  • Graduate student pursuing a Ph.D. or Master's degree in Engineering, Computer Science or Applied Math
  • Graduation date between December 2024 and September 2025
  • Open to relocating to another country for a full-time position after your internship
  • Reputable university with a strong academic standing is preferred
  • Problem-Solving Skills: Strong problem-solving abilities and the capacity to innovate, with a proven history of addressing complex challenges effectively
  • Collaboration Skills: Demonstrated ability to collaborate effectively with cross-functional teams, fostering a culture of teamwork and knowledge sharing
  • Documentation and Communication: Excellent documentation and communication skills, including the capability to clearly convey complex technical concepts
  • Performance Optimization: Experience in optimizing the performance of applications for edge devices, including TPU/NPU/GPU acceleration and resource efficiency
  • Knowledge Sharing: Willingness to actively share knowledge and support the growth and development of the team, contributing to a culture of continuous learning
  • Tech Trend Awareness: A commitment to staying updated with the latest advancements and trends in AI development and deployment, and the ability to integrate new insights into projects. Innovation: A proven track record of bringing fresh and innovative ideas to the team, which have positively impacted projects and the organization
  • You’re inclusive, adapting your style to the situation and diverse global norms of our people
  • An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding
  • You’re collaborative, building relationships, humbly offering support and openly welcoming approaches
  • Innovative and creative, you proactively explore new ideas and adapt quickly to change

Responsibilities

  • Develop NPU Compiler front end to support more operators, including floating or quantized PyTorch quantized model, and converted it to Exynos NN compiler’s IR
  • Conduct Research and Experiments: Investigate how to better illustrate the graph of AI model with Intermediate Representative
  • Create Comprehensive Documentation: Generate clear and comprehensive documentation to facilitate knowledge transfer within the team, including best practices and implementation guidelines.
  • Test and Validate newly introduced AI operators: Conduct thorough testing and validation on Exynos Device.
  • Stay Informed about Industry Trends: Keep up to date with the latest advancements in AI compiler and deployment
  • Complete other responsibilities as assigned.

Manufacturing & Electronics
Industry
10,001+
Employees

Mission & Purpose

Established in 1974 as a subsidiary of Samsung Electronics, we’re proud to be recognized as one of the leading chip manufacturers in the world. Using our knowledge in semiconductor technology, our ambition is to spark the imagination of device manufacturers with top-of-the-line building blocks and, through that, enrich the lives of people around the world with transformative solutions.