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Qualcomm
Qualcomm

Inventing the technologies the world loves.

Intern- Deep Learning R&D for Automated Driving

职能机器学习
级别实习
地点Seoul, South Korea
方式现场办公
类型实习
发布4个月前
立即申请

必备技能

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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关于Qualcomm

Qualcomm

Qualcomm

Public

Inventing the technologies the world loves.

10,001+

员工数

San Diego

总部位置

$136B

企业估值

评价

3条评价

3.0

3条评价

工作生活平衡

3.0

薪酬

2.0

企业文化

2.5

职业发展

3.5

管理层

2.0

45%

推荐率

优点

Opportunity to work at reputable company

Interesting work and new skill development

Strong brand name recognition

缺点

Low compensation compared to market rates

Poor communication from employees

No benefits provided

薪资范围

21个数据点

Junior/L3

Junior/L3 · Data Scientist

0份报告

$196,000

年薪总额

基本工资

$150,000

股票

$33,000

奖金

$13,000

$166,600

$225,400

面试评价

8条评价

难度

2.8

/ 5

时长

14-28周

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

Technical Knowledge

System Design

Behavioral/STAR

Past Experience