Deep Learning Engineer for Automated Driving

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.

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

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.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

If you would like more information about this role, please contact Qualcomm Careers.