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JobsQualcomm

Computer Vision Algorithm Engineer

Qualcomm

Computer Vision Algorithm Engineer

Qualcomm

Beijing, Beijing, China

·

On-site

·

Full-time

·

3mo ago

Company:

Qualcomm China

Job Area:

Engineering Group, Engineering Group > Systems Engineering

General Summary:

Responsibilities:

  • Responsible for research and development of cutting-edge technologies in computer vision algorithms.
  • Responsible for the development of XR 6DOF controller tracking algorithms.

Requirements:

  • Prior experience with SLAM/VIO/IMU algorithms is preferred.
  • Master's degree or above in a computer-related field, with a minimum of 3 years of work experience.
  • Familiarity with common computer vision algorithms, with preference given to those with experience in deep learning such LSTM, GRU, TCN etc..
  • Strong mathematical foundation, including knowledge of multiview geometry and nonlinear optimization.
  • Proficient programming skills, with a solid grasp of C/C++ and various data structures.
  • Familiarity with Android development is a plus, and experience in mobile performance optimization is highly desirable.

Minimum Qualifications:

  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR
    Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
    OR
    PhD in Engineering, Information Systems, Computer Science, or related field.

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.

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About Qualcomm

Qualcomm

Qualcomm

Public

Inventing the technologies the world loves.

10,001+

Employees

San Diego

Headquarters

Reviews

3.6

5 reviews

Work Life Balance

4.0

Compensation

4.0

Culture

2.5

Career

3.0

Management

2.5

Pros

Good work-life balance

Real engineering work with technical challenges

Good compensation

Cons

Slow processes and bureaucracy

Poor management and planning

Cross-team dependencies and alignment issues

Salary Ranges

1 data points

Junior/L3

Junior/L3 · Data Scientist

0 reports

$215,000

total / year

Base

$170,000

Stock

$30,000

Bonus

$15,000

$182,750

$247,250

Interview Experience

8 interviews

Difficulty

3.4

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 50%

Negative 50%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Technical Interview/Onsite

5

Team Matching

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

System Design

Behavioral/STAR

Past Experience