As a leading technology innovator, we push the boundaries of what's possible to enable next-generation experiences and drive digital transformation, creating a smarter, connected future for all.
As a company 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 company AI Stack features within our 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 our low-power AI accelerators. The DSP core design work directly supports our 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 our AI DSPs to support the execution of the latest generative AI models on Snapdragon platforms
Develop and implement core components of our 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
Requirements: Minimum Qualifications (Must Have)
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field
7+ years of general software development experience or 4+ years of related work experience on AI DSP systems
Proficiency in software development using C/C++
Experience with development in a Linux environment
Strong software development skills, including data structure and algorithm design, object-oriented or other software design paradigms, software debugging, and testing
Excellent communication skills (verbal, presentation, and writing)
Preferred Qualifications (Desired)
3+ years of experience building embedded software applications
Familiarity with various generative AI model architectures such as LLMs
Strong understanding of hardware acceleration and deployment of generative AI inference on edge devices as mobile, laptop and AR/VR/XR headset.
Experience with development in various platforms such as Linux, Android, or Windows
Experience with agile software development practices and git-based SCM
Ability to collaborate across a globally diverse team and manage multiple interests
This position is open to all candidates.