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CompanyQualcomm India Private Limited Job AreaEngineering Group > Systems Engineering Job OverviewAs part of Qualcomms 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 lowpower AI solutions, enabling efficient ondevice intelligence for audio, sensors, and alwayson 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 ResponsibilitiesAnalyze, design, and optimize LPAI (Hexagon DSP, eNPU, TCM/UBUF/LLC/DDR) for performance, power, and area efficiency in value tier chipsets.Conduct architectural analysis and benchmarking of LPAI subsystems, identifying bottlenecks and proposing solutions for improved throughput and efficiency.Collaborate with hardware and software teams to define and implement enhancements in DSP/eNPU 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 LPAI, including quantization, compression, and hardware acceleration techniques.Support systemlevel integration, performance testing, and demo prototyping for commercialization of optimized DSP/eNPU solutions.Work closely with crossfunctional teams to ensure successful deployment and commercialization of value tier chipset features.Document architectural analysis, optimization strategies, and performance results for internal and external stakeholders.RequirementsSolid background in DSP architecture, embedded NPU design, and lowpower AI systems.Proven experience in performance analysis, benchmarking, and optimization of embedded processors (DSP, NPU, ARM, RISCV).Strong fundamentals of power modeling and power analysis.Experience working on systemlevel power analysis and measurements.Strong programming skills in Embedded C/C++, Python familiarity with performance modeling tools.Experience with embedded platforms, realtime operating systems, and hardware/software codesign.Expertise in both fixedpoint and floatingpoint implementation, with a focus on ML/AI workloads.Excellent communication, presentation, and teamwork skills; ability to work independently and across global teams.Educational QualificationsMasters or PhD degree in Engineering, Electronics and Communication, Electrical, Computer Science, or related field.Preferred QualificationsFamiliarity with Qualcomm DSP/eNPU architectures, SDKs, and tools.Experience with LPAI frameworks and design.Knowledge of audio or sensor signal processing frameworks is a plus.Minimum QualificationsBachelors degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.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 email disability-accomodations@qualcomm.com or call Qualcomm's tollfree 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. CompanyQualcomm India Private Limited Job AreaEngineering Group > Systems Engineering Job OverviewAs part of Qualcomms 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 lowpower AI solutions, enabling efficient ondevice intelligence for audio, sensors, and alwayson use cases. You will build system models, conduct performance/power trade studies, and drive architectural recommendations that scale across mobile, XR, compute, I
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