AI Software Engineer – NPU/Hexagon DSP Kernel Optimization | Qualcomm at Qualcomm

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Last observed by our collector: 9 October 2026 at 12:47 am IST. This is not a manual review or a confirmation from the employer.

Employer requisition: 3093071

Job type and experience labels are automated discovery categories. The employer determines eligibility. Retained employer experience wording: 2-10 years.

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Retained employer experience wording: 2-10 yearsAttendance and availability: I checked the employer page for work location, office attendance, start date and duration.Current requisition: I checked the current employer requisition and its application requirements.

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Collected role description

Implement high-performance neural network kernels/operators with focus on latency, power, memory, and throughput. Profile runtime bottlenecks and apply hardware-aware software optimizations. Partner with architecture and hardware teams to improve future NPU and DSP capabilities. Support customer issue resolution, performance tuning, and platform bring-up. 2 to 10 years of experience in embedded software development, preferably in AI, DSP, NPU, or performance-critical systems Strong C/C++ programming skills and solid understanding of processor architecture, operating systems, and multi-processor concepts. Understanding of deep learning architectures, neural network operators, runtime systems, graph execution, and operator implementation. Experience with kernel optimization, fixed-point computation, quantization, mathematical/numerical optimization. Knowledge of memory hierarchy, cache behavior, MMU/IOMMU, bandwidth optimization, and software-hardware co-optimization for AI accelerators. Exposure to SIMD, vector processing, assembly, profiling, benchmarking, debugging, or low-level optimization techniques. Bachelor's degree in Computer Science, Electrical/Electronic Engineering, or a related field with 2+ years of relevant work experience; or Master's degree in Computer Science, Electrical/Electronic Engineering, or a related field with 1+ year of relevant work experience. Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Ph D in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. 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Collected experience requirement

2-10 years