
Inventing the technologies the world loves.
GPU Research Engineer
Required skills
Python
Machine Learning
Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > GPU ASICS Engineering
General Summary:
Qualcomm's GPU Research Team is looking for talented GPU architects to help advance state-of-the-art 3D GPU capabilities in Ray Tracing, Neural Rendering, Geometry Processing, and Machine Learning. Through close collaboration with software team, hardware design team, standardization bodiers, internal and external customers you will help develop and design new GPU architectural features. For this role we expect a strong understanding of the GPU architecture, programming models, and applications. Familiarity with API's such as Vulkan, D3D, OpenGL, and/or OpenCL is required. Working knowledge of C/C++ is required. Python programming skills is a strong plus.
Team responsibilities include:
-
Discover customer requirements for next generation architectural features
-
Turn ideas into a complete Feature Development Specification that includes all aspects of the new functionality
-
Create simulators to explore and validate functional and performance behaviors
-
Help educate internal implementation teams
-
Contribute to the standardization efforts
More background on our team:
Qualcomm's GPU Resarch Team is responsible for the development of the worlds most advanced graphics processing unit (GPU). The Adreno GPU is part of Qualcomm's System on a Chip (SOC) platform found in mobile phones, virtual and augmented reality headsets, wearables, laptop computers and more. Our responsibilities include: forward looking architecture, research and design, tools, frameworks, GPU drivers. We work on advancing 3D rendering concepts for gaming, productivity applications, and machine learning. Beyond traditional graphics, the GPU architecture team works on advancing machine learning, ray tracing, and enhanced developer tools to facilitate debugging, optimizing, and deploying applications for existing and new Qualcomm SOC based devices.
Minimum Qualifications:
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 6+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.OR
Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 5+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
Minimum Qualifications:
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. OR
Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 1+ year of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Engineering, Computer Science, Electrical Engineering, 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).
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.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
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.
Pay range and Other Compensation & Benefits:
$133,600.00 - $200,400.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
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About Qualcomm

Qualcomm
PublicInventing the technologies the world loves.
10,001+
Employees
San Diego
Headquarters
$136B
Valuation
Reviews
3 reviews
3.0
3 reviews
Work-life balance
3.0
Compensation
2.0
Culture
2.5
Career
3.5
Management
2.0
45%
Recommend to a friend
Pros
Opportunity to work at reputable company
Interesting work and new skill development
Strong brand name recognition
Cons
Low compensation compared to market rates
Poor communication from employees
No benefits provided
Salary Ranges
21 data points
Junior/L3
Junior/L3 · Data Scientist
0 reports
$196,000
total per year
Base
$150,000
Stock
$33,000
Bonus
$13,000
$166,600
$225,400
Interview experience
8 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common questions
Coding/Algorithm
Technical Knowledge
System Design
Behavioral/STAR
Past Experience
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