LPAI Architecture and Systems Engineer

CompanyQualcomm India Private LimitedJob AreaEngineering Group, Engineering Group > Systems EngineeringGeneral SummaryJob OverviewAs 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 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 tiersKey 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 system-level integration, performance testing, and demo prototyping for commercialization of optimized DSP/eNPU solutions.Work closely with cross-functional 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 low-power AI systems.Proven experience in performance analysis, benchmarking, and optimization of embedded processors (DSP, NPU, ARM, RISC-V).Strong programming skills in Embedded C/C++, Python, and Matlab; familiarity with performance modeling tools.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.Educational QualificationsMaster's or PhD degree in Engineering, Electronics and Communication, Electrical, Computer Science, or related field.Minimum QualificationsBachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.ORPhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.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.Keywords DSP architecture, eNPU, LPAI, inference optimization, benchmarking, embedded AI, Qualcomm, RISC-V, Hexagon, TCM/LLC/DDR optimizationsApplicants: Qualcomm is an equal opportunity employer. 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