GPU Compute & MLIR Compiler Principal Engineer — AI Workloads

## Company: Qualcomm India Private Limited ## Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: * Drive technical direction and execution of AI and Generative AI workloads on GPU platforms. * Lead exploration and optimization of emerging workloads including LLMs, transformer-based models, computer vision, and other AI/ML applications. * Collaborate across architecture, compiler technologies and frameworks such as TVM, MLIR, and IREE, software, performance, and product teams to drive solutions from early exploration through product-quality implementation. * Provide technical leadership, conduct design reviews, and mentor engineers working across GPU AI initiatives. * Develop and optimize GPU solutions leveraging capabilities such as matrix acceleration, mixed-precision computation, quantization, and other hardware acceleration features. * Analyze end-to-end AI workload performance and identify bottlenecks across models, frameworks, compilers, runtimes, GPU kernels, and hardware architecture. * Drive compiler and runtime optimizations to improve AI workload performance, power efficiency, and scalability. * Evaluate emerging AI models, algorithms, frameworks, and optimization techniques and assess their implications for future GPU architectures. * Work closely with GPU architecture teams to translate workload analysis into actionable recommendations for future architectural capabilities. * Develop prototypes and proof-of-concepts to evaluate new ideas and demonstrate GPU capabilities for AI workloads. * Communicate technical findings, trade-offs, recommendations, and results effectively to both engineering and leadership audiences Minimum Qualifications: • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience. 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.