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职位Qualcomm

GPU perf/power profiling and analysis engineer(up to Staff)

Qualcomm

GPU perf/power profiling and analysis engineer(up to Staff)

Qualcomm

Shanghai, Shanghai, China; Shenzhen, Guangdong, China; Guangdong, Guangdong, China

·

On-site

·

Full-time

·

4mo ago

必备技能

Python

Company:

Qualcomm China

Job Area:

Engineering Group, Engineering Group > Systems Test Engineering

General Summary:

Tests and modifies general systems-level software/hardware, specialized utility and/or hardware. Interprets wireless specifications. Designs test plans, scenarios, scripts, or procedures. Documents systems-level defects, using a bug tracking system, and report defects to developers. Identifies, analyzes, troubleshoots, and documents problems with program function, output, or content. Develops testing programs that assess effectiveness of a new system or modification of an existing system.

Minimum Qualifications:

  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Test Engineering or related work experience. OR
    Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Test Engineering or related work experience.
    OR
    PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Test Engineering or related work experience.

Job Overview:

Qualcomm is one of the largest fabless design companies in the world provides hardware, software and related services to nearly every mobile device maker and operator in the global wireless marketplace. The Qualcomm Graphics System Team is responsible for the development of end to end and system on chip (SOC) architectural solutions for next generation of graphics processing units (GPUs) and compute devices.

Responsibilities:

  • In this role, your work will have critical impact in influencing next generation GPUs to be more enhanced/efficient and to maintain competitive edge in Qualcomm Graphics solution.
  • You will be contributing to silicon-based performance and power profiling analysis at GPU as well as system level for the mobile graphics workloads such as benchmark/games by exploiting different SW/HW/Architectural knobs to find opportunities to improve perf/W.
  • Be engaged and contribute to competitive perf/power profiling analysis for popular benchmark/games to identify or be able to explain the gaps with reasonable evidence which could lead to next generation architecture/HW/SW enhancement opportunities.
  • Develop tools for efficient, streamlined and scalable debug/validation/verification tasks.
  • Participate, contribute in next generation model improvement, finding optimization opportunity in HW by providing post-si learning.

This role requires :

  • familiarity working with graphics workload (Games/Benchmarks application and traces),
  • experience of GPU centric perf and power data collection,
  • knowledge of power measurement methodology (familiarity of equipment, understanding of power data interpretation, etc.),
  • programming knowledge (python preferred) for building/maintaining automations
  • be able to analyze performance and power on internal and external devices,
  • have high level understanding of different SOC components (such as CPU, GPU, DDR, path-to-DDR)

Minimum Qualifications

  • Understanding of graphics API, knowledge of graphics workloads
  • Understanding of power concepts
  • Knowledge of python (or any other) programming
  • Min 1 years on job experience
  • Minimum of Bachelor degree required

Preferred Qualifications

Masters degree 2 to 5 years of relevant experience SOC level power analysis as well as product level power analysis Experience in competitive performance and power analysis for CPU or GPU centric use cases

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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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

3.7

10条评价

工作生活平衡

2.8

薪酬

3.5

企业文化

3.2

职业发展

3.8

管理层

2.5

65%

推荐给朋友

优点

Good benefits and compensation

Challenging and interesting work

Great team and colleagues

缺点

Management and leadership issues

Work-life balance concerns

Toxic culture/micromanagement

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

面试经验

9次面试

难度

2.6

/ 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