LPAI Architecture and Systems Engineer

Job Description Company Qualcomm India Private Limited Job Area Engineering Group, Engineering Group > Systems Engineering General Summary Job Overview 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 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 tiers Key Responsibilities - Analyze, 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. Requirements - Solid 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 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 4+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. Preferred Qualifications - Familiarity 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 optimizations 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 [Confidential Information] or call Qualcomm's toll-free number found here. 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