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GPU/AI Power Performance Staff Engineer

Qualcomm -
Bengaluru, Karnataka

Apply Now

Job details

Qualifications

TensorFlow
Doctoral degree
Computer Science
PyTorch
Engineering
Information Systems
M.Eng
Master's degree
Verilog
C++
C
Bachelor's degree
Assembly
Perl
Computer Engineering
Systems engineering
AI
Python
Computer graphics

Full job description

Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Systems Engineering

General Summary:

Job Description
Develop and maintain GPU power modeling and estimation for diverse AI workloads
Analyze and evaluate GPU architecture/microarchitecture for performance and power optimizations
Collaborate with hardware, software, and ML teams to identify power bottlenecks and propose architectural or algorithmic optimizations
Analyze AI workload characteristics and correlate them with power behavior across different GPU generations

Minimum Qualifications:
Master's or PhD degree or equivalent in Computer Engineering, Computer Science, Electrical Engineering, or related field..
2+ years of experience with ASIC design and verification

Minimum Qualifications:

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.

OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.

Preferred Qualifications:
5+ years of experience with advanced CPU/GPU architecture/microarchitecture design development
5+ years of experience with low-power ASIC design techniques
Experience in Python, C++, and ML frameworks (e.g., TensorFlow, PyTorch)
Experience with industry tools such as PrimeTime PX and Power Artist
Experience with Vulkan, DirectX3D, OpenGL, OpenCL, or Cuda development
Experience with GPU driver and compiler development
Skills: C/C++ Programming Language, Scripting (Python/Perl), Assembly, Verilog/SystemVerilo

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 [email protected] 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 .

Apply Now

Refine Your Search

GPU/AI Power Performance Staff Engineer

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