## nCompany:nnQualcomm India Private Limitednn## Job Area:nnEngineering Group, Engineering Group u003e Systems EngineeringnnGeneral Summary:nnJob OverviewnnAs part of Qualcommu2019s Audio and Low-Power AI (LPAI) Architecture group, you will architect, analyze, and optimize DSP and embedded NPU (eNPU) performance across Snapdragon value-tier platforms. Your focus will be on architectural analysis, optimization, and deployment of low-power AI (LPAI) solutions, enabling efficient on-device intelligence, including eNPU scheduling, memory hierarchy, compression/quantization strategies, and clock/BW voting, to enable efficient on-device AI for audio, 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 tiersnnKey Responsibilitiesnnu00b7 Analyze, design, and optimize LPAI (Hexagon DSP, eNPU, TCM/UBUF/LLC/DDR) for performance, power, and area efficiency in value tier chipsets.nnu00b7 Conduct architectural analysis and benchmarking of LPAI subsystems, identifying bottlenecks and proposing solutions for improved throughput and efficiency.nnu00b7 Collaborate with hardware and software teams to define and implement enhancements in DSP/eNPU microarchitecture, memory hierarchy, and dataflow.nnu00b7 Develop and validate performance models for AI workloads, including signal processing and ML inference, on embedded platforms.nnu00b7 Prototype and evaluate new architectural features for LPAI, including quantization, compression, and hardware acceleration techniques.nnu00b7 Support system-level integration, performance testing, and demo prototyping for commercialization of optimized DSP/eNPU solutions.nnu00b7 Work closely with cross-functional teams to ensure successful deployment and commercialization of value tier chipset features.nnu00b7 Document architectural analysis, optimization strategies,



and performance results for internal and external stakeholders.nnRequirementsnnu00b7 Solid background in DSP architecture, embedded NPU design, and low-power AI systems.nnu00b7 Proven experience in performance analysis, benchmarking, and optimization of embedded processors (DSP, NPU, ARM, RISC-V).nnu00b7 Strong fundamentals of Power modeling and Power analysisnnu00b7 Experience working on System level power anlaysis and measurementsnnu00b7 Strong programming skills in Embedded C/C++, Python familiarity with performance modeling tools.nnu00b7 Experience with embedded platforms, real-time operating systems, and hardware/software co-design.nnu00b7 Expertise in both fixed-point and floating-point implementation, with a focus on ML/AI workloads.nnu00b7 Excellent communication, presentation, and teamwork skills; ability to work independently and across global teams.nnEducational Qualificationsnnu00b7 Masteru2019s or PhD degree in Engineering, Electronics and Communication, Electrical, Computer Science, or related field.nnPreferred Qualificationsnnu00b7 Familiarity with Qualcomm DSP/eNPU architectures, SDKs, and tools.nnu00b7 Experience with LPAI frameworks and design.nnu00b7 Knowledge of audio or Sensor signal processing frameworks is a plus.nnMinimum Qualifications:nnu2022 Bacheloru0027s degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. nOR nMasteru0027s degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.



nOR nPhD in Engineering, Information Systems, Computer Science, or related field.nnnnnApplicants: Qualcomm is an equal prospect 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 Qualcommu0027s 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).nnQualcomm 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.nnTo 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.nnIf you would like more information about this role, please contact Qualcomm Careers.n

📌 Sr Engineer: LPAI Architecture and Systems Engineer (Hyderabad)
🏢 Recognized
📍 Hyderabad