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Qualcomm
Qualcomm

Inventing the technologies the world loves.

Engineer

직무머신러닝
경력미들급
위치Bengaluru, Karnataka, India
근무오피스 출근
고용정규직
게시2개월 전
지원하기

필수 스킬

Python

PyTorch

TensorFlow

Company:

Qualcomm India Private Limited:

Job Area:

Engineering Group, Engineering Group > Systems Test Engineering

General Summary:

Job Description:

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards.

The AI SW team at Qualcomm is focused on advancing state-of-the-art in Artificial Intelligence across various business segments, including Mobile, AR & VR Technology, IoT, and Auto ADAS. The AISW stack leverages Qualcomm chips' extensive heterogeneous computing capabilities, enabling the running of trained neural networks on devices without needing a cloud connection. This allows neural network models trained in various frameworks on Snapdragon platforms to run at blazing speeds while consuming minimal power. As a Senior Lead Engineer, you will see your work directly impact billions of devices worldwide.

Key Responsibilities:

  • Lead the design, development, and implementation of AI/ML solutions across multiple domains.

  • Collaborate with cross-functional teams to ensure seamless integration of AI/ML components within the broader framework.

  • Mentor and coach junior engineers, providing development experiences and networking opportunities.

  • Address and resolve issues related to AI models optimizations, ensuring high performance and accuracy of AI models.

  • Conduct research on industry trends and innovations in AI/ML to adopt best practices in solutions and deliverables.

  • Develop and optimize quantization techniques for AI/ML models, ensuring efficient execution on Qualcomm hardware

  • Manage project timelines, objectives, and goals, ensuring efficient use of resources across functional areas.

Minimum Qualifications:

Bachelor's degree in Engineering, Computer science or a related field and 1+ years of experience of Software engineering or related work experience

OR

Master’s degree in Engineering, Computer science or a related field and 1+ years of experience of Software engineering or related work experience

  • Experience with SW architecture and programming languages.

  • Experience with tools and frameworks such as Py Torch, Tensor Flow, ONNX, and others.

Preferred Qualifications:

  • Excellent development skills in C++ / Python

  • Proficient in Data structures and algorithms

  • Hands on expertise in deep learning frameworks such as ONNX, Py Torch

  • In depth knowledge of state-of-the-art CV, NLP, LLM, GenAI, Classification and Object detection model architectures

  • Good understanding of Quantization (8-bit, 4-bit) and Calibration algorithms

  • Good understanding of machine learning compiler techniques and graphs optimizations

  • Good understanding of SW design patterns and design philosophies (SOLID principles, design patterns)

  • Excellent analytical, development, and debugging skills

  • Knowledge of machine learning compilers (TVM, Glow) is a plus

  • Knowledge of machine learning runtimes like ONNX Runtime and TF runtimes is a plus

Minimum Qualifications:

  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

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.

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Qualcomm 소개

Qualcomm

Qualcomm

Public

Inventing the technologies the world loves.

10,001+

직원 수

San Diego

본사 위치

$136B

기업 가치

리뷰

3개 리뷰

3.0

3개 리뷰

워라밸

3.0

보상

2.0

문화

2.5

커리어

3.5

경영진

2.0

45%

지인 추천률

장점

Opportunity to work at reputable company

Interesting work and new skill development

Strong brand name recognition

단점

Low compensation compared to market rates

Poor communication from employees

No benefits provided

연봉 정보

21개 데이터

Junior/L3

Junior/L3 · Data Scientist

0개 리포트

$196,000

총 연봉

기본급

$150,000

주식

$33,000

보너스

$13,000

$166,600

$225,400

면접 후기

후기 8개

난이도

2.8

/ 5

소요 기간

14-28주

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

Technical Knowledge

System Design

Behavioral/STAR

Past Experience