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Qualcomm Deep Learning Engineer Automated Driving 
South Korea, Seoul 
509999270

18.12.2024

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

Qualcomm is expanding its automotive compute leadership in high performance cockpit electronics to L2/L3/L4 ADAS & automated driving solutions and has a worldwide team to actively design and prototype the brain of next-generation automated vehicles. Especially in Seoul, South Korea, we are looking for a talented engineer who has developed one of the following:

  • A deep learning architecture/pipeline for end-to-end automated driving, i.e., perception to planning, based on vision and/or LLM

  • A reinforcement learning algorithm that is deployed in the field to control an automated vehicle

  • An automated driving system with real-time vision-based perception that requires no HD maps

You will have the opportunity to closely collaborate with a group of top talents in deep learning and automated driving globally.

Minimum Qualifications

  • Strong understanding and experience of deep learning

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

  • Good communication and presentation skills

  • 10+ years of related work experience

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

Preferred Qualifications

  • Good programming skills in Python/C/C+ Education Requirements

  • Required: Master's or equivalent experience in Computer Engineering and/or Computer Science and/or Electrical Engineering

  • Preferred: Doctorate or equivalent experience in Computer Engineering and/or Computer Science and/or Electrical Engineering

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.

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.

PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.