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Machine Learning Engineer

Qualcomm

Machine Learning Engineer

Qualcomm

Shenzhen, Guangdong, China

·

On-site

·

Full-time

·

1mo ago

Company:

Qualcomm China

Job Area:

Engineering Group, Engineering Group > Software Engineering

General Summary:

Overview

In this position you will be responsible for developing model tools and delivering advanced machine learning solutions on top of Qualcomm’s hardware and software infrastructure to IOT customers. You will work with ML frameworks like Py Torch, extend Qualcomm AI software platform and AI Model Efficiency Toolkit to support the latest and greatest ML models, including Gen AI models, analyzing accuracy loss, developing quantization techniques and finetuning model to improve on-target accuracy.

Skills/Experience

  • Good Python/C++ skills with strong fundamentals in programming.
  • Solid understanding of machine learning technology. Hand-on experience in design/implementation of deep learning networks via Py Torch.
  • Expertise in at least one of the following areas:LLM model training, finetuning.
  • Pytorch model quantization or compression toolkit development.
  • CUDA programming and debugging.
  • DSP/NPU software development and algorithm implementation.
  • Ability to quickly learn new technologies and work on resolving customer reported technical problems during mobile or wireless communication product development cycles.

Education Requirements

Required: Bachelor, Computer Engineering and/or Computer Science and/or Electrical Engineering

Preferred: Master or PhD, Computer Engineering and/or Computer Science and/or Electrical Engineering

Minimum Qualifications:

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

  • 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

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