Qualcomm—Sr Engineer: Embedded AI Architecture and Systems Engineer

Job description

Description: Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: As part of Qualcomm’s Audio and Low-Power AI (LPAI) Architecture group, you will architect, analyze, and optimize DSP and embedded NPU (eNPU) performance across Snapdragon platforms. Your focus will be on architectural analysis, optimization, and deployment of machine learning software, enabling efficient on-device intelligence, including scheduling, memory hierarchy, compression/quantization strategies, to enable efficient on-device AI for audio, camera, sensors, and always-on use cases. You will build system models, conduct performance/power trade studies, and drive architectural recommendations that scale across mobile, XR, compute, IoT, and automotive tiers Key Responsibilities - Analyze, design, and optimize Machine learning kernels on ML HW accelerator for performance, power, and area efficiency in value tier chipsets. - Conduct architectural analysis and benchmarking of ML subsystems, identifying bottlenecks and proposing solutions for improved throughput and efficiency. - Collaborate with hardware and software teams to define and implement enhancements in ML HW microarchitecture, memory hierarchy, and dataflow. - Develop and validate performance models for AI workloads, including signal processing and ML inference, on embedded platforms. - Prototype and evaluate new architectural features for ML HW, including quantization, compression, and hardware acceleration techniques. - Support system-level integration, performance testing, and demo prototyping for commercialization of optimized ML solutions. - Document architectural analysis, optimization strategies, and performance results for internal and external stakeholders. Requirements - Solid background in DSP architecture, embedded NPU design, and low-power AI systems. - Proven experience in performance analysis, benchmarking, and optimization on any embedded processors (DSP, ARM, RISC-V, NPU). - Strong programming skills in Embedded C/C++, Python - Experience with embedded platforms, real-time operating systems, and hardware/software co-design. - Expertise in both fixed-point and floating-point implementation, with a focus on ML/AI workloads. - Excellent communication, presentation, and teamwork skills; ability to work independently and across global teams. - Strong fundamentals of Power modeling and Power analysis Educational Qualifications - Master’s or PhD degree in Engineering, Electronics and Communication, Electrical, Computer Science, or related field Minimum Qualifications: • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 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.