As a Qualcomm AI Software Engineer, you will develop and implement cutting-edge AI techniques that enable the efficient utilization of state-of-the-art solutions across various technology verticals.
In this position, you will be responsible for leading software development and implementation of the Qualcomm AI Stack features within Qualcomm AI Runtime (QAIRT) SDK, specifically Core software including Generative AI Inference Extensions. You will contribute to the efficient execution of advanced deep neural networks (DNNs), large language models (LLMs), and other modern AI architectures. You will also be responsible for supporting AI stack that optimizes runtime efficiency, latency and power consumption of AI applications running Machine Learning workloads on Qualcomm's low-power AI accelerators. The DSP core design work directly supports Qualcomm NPU and GPU solutions, enabling optimized inference across diverse hardware platforms.
You will have the opportunity to demonstrate your passion for software design and development through your analytical, design, programming, and debugging skills.
Responsibilities
Develop real-time software for Qualcomm AI DSPs to support the execution of the latest generative AI models on Snapdragon platforms
Develop and implement core components of Qualcomm AI Stack runtime framework for inference on resource constrained AI systems, operating in low power, small memory footprint platforms
Validate, analyze, and optimize the performance and accuracy of software through detailed testing of machine learning use cases
Debug complex issues, perform root cause analysis, and ensure high system reliability
Collaborate with cross-functional teams to deliver robust, scalable AI software solutions
Contribute to a culture of technical excellence, knowledge sharing, and continuous improvement within the AI Software team
Participate in design and code reviews
Working in global environment and collaborating inside the team and across other AI teams
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