Senior GPU Machine Learning Engineer
Company: Qualcomm
Location: San Diego
Posted on: April 1, 2025
Job Description:
Company:Qualcomm Technologies, Inc.Job Area:Engineering Group,
Engineering Group > Graphics Software EngineeringGeneral
Summary:As a leading technology innovator, Qualcomm pushes the
boundaries of what's possible to enable next-generation gaming, XR,
and AI experiences. Qualcomm Graphics Software Engineers architect,
design, implement, verify, and optimize the structure and
performance of GPU hardware, drivers, features, applications, and
tools. Qualcomm Engineers collaborate with cross-functional teams
to meet and exceed customer needs.Minimum Qualifications:
- Bachelor's degree in Applied Mathematics, Computer Science,
Computer Engineering, Electrical Engineering, Software Engineering,
or related field and 2+ years of Software Engineering, Hardware
Engineering, Systems Engineering, Electrical Engineering, Game
Rendering, or related work experience.ORMaster's degree in Applied
Mathematics, Computer Science, Computer Engineering, Electrical
Engineering, Software Engineering, or related field and 1+ year of
Software Engineering, Hardware Engineering, Systems Engineering,
Electrical Engineering, Game Rendering, or related work
experience.ORPhD in Applied Mathematics, Computer Science, Computer
Engineering, Electrical Engineering, Software Engineering, or
related field.
- 1+ year of academic and/or work experience with one or more
programming language suitable for graphics (e.g., C++, C).Required
skills:
- Strong C/C++ programming skills
- Strong knowledge of Machine Learning Theory
- Familiarity with a Deep Learning Framework such as Pytorch
- Familiarity with a GPGPU API such as CUDA or OpenCL.
- Understanding of data structures and algorithms, including
object-oriented programming
- Excellent interpersonal and analytical skills with the ability
to work independentlyOptional, preferred skills:
- Device driver development, including GPU or CPU
- Programming experience with Graphics APIs such as OpenGL
ES/Vulkan/DX11/DX12
- Knowledge of GPGPU application development including
Mathematical Operations and Image Processing.
- Exposure to Embedded systems and Real-time operating
systems
- Experience working with ARM architecture
- Familiarity with Git or other SCM toolsQualcomm 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 or call Qualcomm's toll-free number found .
Upon request, Qualcomm will provide reasonable accommodations to
support individuals with disabilities to be able to participate in
the hiring process. Qualcomm is also committed to making our
workplace accessible for individuals with disabilities.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.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:$116,900.00 - $175,300.00The 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. 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 .
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Keywords: Qualcomm, San Diego , Senior GPU Machine Learning Engineer, Engineering , San Diego, California
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