Lpai Architecture And Systems Engineer

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 o 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 or call Qualcomm s toll-free number found 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 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