
Inventing the technologies the world loves.
Intern- Deep Learning R&D for Automated Driving
Required skills
Python
PyTorch
TensorFlow
Company:
Qualcomm Korea YH:
Job Area:
- Interns Group, Interns Group > Interim Engineering Intern
- SW
Qualcomm Overview:
Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in.
General Summary:
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 PhD student who has expertise in the following topics:
-
Deep learning architectures/pipelines to perform end-to-end automated driving, i.e., perception to planning, based on vision and/or LLM
-
State-of-the-art deep learning models to perform camera perception for 3D lane/road boundaries
Minimum Qualifications
-
Must be a PhD student who is available for 3-6 months and expected to graduate within few years after completing this internship
-
Strong understanding and experience of deep learning
-
Proficiency in one of deep learning tools, e.g., Py Torch and Tensor Flow
-
Good communication and presentation skills
Preferred Qualifications
-
Good programming skills in Python/C/C++
-
Accepted/Published papers on the topics mentioned above
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 myhr.support@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.
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.
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About Qualcomm

Qualcomm
PublicInventing the technologies the world loves.
10,001+
Employees
San Diego
Headquarters
$136B
Valuation
Reviews
3 reviews
3.0
3 reviews
Work-life balance
3.0
Compensation
2.0
Culture
2.5
Career
3.5
Management
2.0
45%
Recommend to a friend
Pros
Opportunity to work at reputable company
Interesting work and new skill development
Strong brand name recognition
Cons
Low compensation compared to market rates
Poor communication from employees
No benefits provided
Salary Ranges
21 data points
Junior/L3
Junior/L3 · Data Scientist
0 reports
$196,000
total per year
Base
$150,000
Stock
$33,000
Bonus
$13,000
$166,600
$225,400
Interview experience
8 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common questions
Coding/Algorithm
Technical Knowledge
System Design
Behavioral/STAR
Past Experience
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