Overview
On Site
USD 125,000.00 - 187,000.00 per year
Full Time
Skills
3D computer graphics
Large Language Models (LLMs)
Policies and procedures
Machine Learning (ML)
Content creation
Computer vision
Use cases
Competitor analysis
Open source
Computer engineering
Computer science
Electrical engineering
IT management
Software engineering
Systems engineering
GPU
Research
Algorithms
GPU computing
Compilers
Design
Collaboration
IoT
Optimization
OpenCL
Leadership
Management
CUDA
Computer hardware
Recruiting
Law
Sales
Job Details
Company:Qualcomm Technologies, Inc.
Job Area:Engineering Group, Engineering Group > GPU ASICS Engineering
General Summary:
Preferred Qualifications:
Experience on implementation and optimization of ML/large language models (such as Llama 7b) on GPU using CUDA/OpenCL/ROCm/HIP/Vulkan/DX is a big plus.
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.
Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm's toll-free number found for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.
Qualcomm is an equal opportunity employer and supports workforce diversity.
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:
$125,000.00 - $187,000.00
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!
If you would like more information about this role, please contact .
Job Area:Engineering Group, Engineering Group > GPU ASICS Engineering
General Summary:
- Work on research and exploration of new features and algorithms as well as improvement of existing features for Adreno GPUs. These include features for general purpose GPU (GPGPU), machine learning, and 3D graphics.
- Work closely with internal teams on content creation, software, compiler, design, and verification, to produce comprehensive architectural solutions.
- Collaborate with internal and external customers on GPGPU, machine learning, computer vision, IoT, and automotive product lines.
- In-depth analysis, profiling, optimization of critical GPGPU benchmarks and use cases, development of micro-benchmarks, and competitive analysis of GPGPU/ML features.
- Development of functional and performance models for HW/SW features and algorithms.
- Participate in open-source GPGPU/ML projects.
- Contribute to GPU standardization activities, such as OpenCL, SYCL and SPIR-V.
Preferred Qualifications:
- Master's degree or PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
- 2+ years of relevant GPU experience (either external or internal).
1+ years of work experience in a role requiring interaction with senior leadership (e.g., Director and above). - 1+ years in a technical leadership role with direct reports (only applies to positions with direct reports).
Experience on implementation and optimization of ML/large language models (such as Llama 7b) on GPU using CUDA/OpenCL/ROCm/HIP/Vulkan/DX is a big plus.
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.
Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm's toll-free number found for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.
Qualcomm is an equal opportunity employer and supports workforce diversity.
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:
$125,000.00 - $187,000.00
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!
If you would like more information about this role, please contact .