Mobile Vision & AI Systems Architect

Qualcomm

San Diego (CA)

On-site

USD 123,000 - 213,000

Full time

11 days ago

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Job summary

Qualcomm Technologies, Inc. in San Diego is seeking candidates to join the Mobile Computer Vision and AI Systems Architecture Team.

The group delivers next‑generation mobile vision and AI workloads across CPUs, GPUs, DSPs, NPUs, and accelerators, focusing on power-efficient, real-time implementations. The role emphasizes hardware-aware algorithm design, DL engine architecture, HW/SW co-design, and performance optimization to maximize compute-per-watt on heterogeneous mobile platforms.

Qualifications

Bachelor's degree required with 2+ years in software/hardware engineering or related.
Master's degree with 1+ year experience or PhD as alternative.
Experience in C/C++ and Python, algorithm prototyping and performance analysis.

Responsibilities

Study state-of-the-art computer vision and deep learning models and define efficient mappings onto mobile AI accelerators and heterogeneous compute platforms.
Drive architecture development for hardware-aware deep learning engines, including support for emerging neural network operators, dataflows, tensor processing pipelines, quantization techniques, and memory hierarchies.
Analyze neural network workloads and identify architectural enhancements required to improve performance, power efficiency, memory bandwidth utilization, and silicon area.
Define HW/SW partitioning strategies across CPUs, GPUs, DSPs, NPUs, and dedicated accelerators.
Develop workload characterization methodologies and performance models for computer vision and AI applications.
Collaborate with hardware architects and designers to define next-generation AI engine features and capabilities based on evolving computer vision workloads.
Drive top-down architecture exploration from algorithm requirements through hardware implementation, including performance, power, thermal, and area projections.