Company:Qualcomm Korea YH

Job Area:Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

General Summary

Qualcomm is expanding its leadership in automotive computing from high-performance cockpit electronics to advanced L2/L3/L4 ADAS and autonomous driving solutions. Our global team is actively designing and prototyping the brain of next-generation autonomous vehicles.

We are currently seeking a talented engineer based in Seoul, South Korea, with proven experience in one or more of the following areas:

Design end-to-end architectures for automated driving with a strong focus on planning and decision-making, leveraging large language models (LLMs) to enable advanced reasoning and optimization.Develop reinforcement learning algorithms for real-world autonomous vehicle control.Research and develop planning and prediction technologies for autonomous driving systems, including behavior, motion, and trajectory prediction.

As part of our team, you will collaborate closely with world-class experts in deep learning and autonomous driving across the globe. This is a unique opportunity to contribute to cutting-edge innovations that will shape the future of mobility.

Required Qualifications

- Strong understanding and experience of deep learning

- Proficiency in one of deep learning frameworks (PyTorch, TensorFlow, …)

- Good communication and presentation skills

Preferred Qualifications

- Good programming skills in Python/C/C++

- 10+ years of related work experience

- Industry experience working with(in) OEM/Tier-1 for automated driving

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

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