GPU/AI Power Performance Staff Engineer

Location: Bangalore, India

Department: Systems Engineering

Work Location: onsite

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
• Contribute to architectural trade-off studies and influence GPU roadmap decisions with data-driven insights

•  

  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
• 2+ years of experience with low-power ASIC optimization

•  

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 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.