Senior Staff Engineer, Machine Learning Engineering ( Agentic AI SW

Qualcomm Technologies, Inc.

Engineering Group, Engineering Group >
Machine Learning Engineering

Qualcomm AI Research is seeking an experienced software engineer to help advance state-of-the-art AI technologies on edge devices. This is an opportunity to join a world-class team developing industry-leading Generative AI solutions, model optimization technologies, and AI runtime software that enable deployment of cutting-edge models on edge devices with optimal performance, power efficiency, memory utilization, and computational efficiency.

In this role, you will be part of a multidisciplinary team that has consistently delivered industry-first innovations on Qualcomm AI accelerators. Recent achievements include the world's first on-device text-to-image generation using Stable Diffusion, power-optimized Vision Language Models (VLMs), and on-device large language model deployment, including 7B-parameter class models. You will contribute to the design, development, optimization, and deployment of next-generation AI and agentic AI technologies that push the boundaries of on-device intelligence.

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• OR
• Master's degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• OR
• PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

• Lead the development of end-to-end embedded AI software and runtime systems to orchestrate neural network models on Qualcomm’s leading-edge hardware, driving the co-design of machine learning software and hardware for optimized inference and training solutions.
• Design, develop, debug, profile, and optimize AI/ML frameworks, runtime software, model efficiency tools, compiler technologies, and machine learning inference to improve performance, power efficiency, scalability, and enable advanced hardware capabilities.
• Develop, adapt, and prototype novel AI/ML and agentic software solutions aligned with product roadmaps and system-level innovation, translating advanced machine learning research into production-ready technologies and customer-facing solutions.
• Provide technical leadership for the design, implementation, training, evaluation, and deployment of machine learning solutions, guiding experimentation, architecture decisions, and best practices across the team.
• Design and enhance the implementation of ML/AI SW stack and runtime software to improve performance and power efficiency.
• Collaborate cross-functionally with hardware, software, and research teams to define technical direction, solve complex problems, influence key organizational decisions, and drive successful delivery of strategic AI initiatives.
• Work independently with minimal supervision while mentoring and providing technical guidance to team members, effectively communicating complex concepts to both technical and leadership audiences.

• At least 9 years of work experience in a relevant field.
• 5+ years of experience and excellent programming capabilities with C/C++ and Python.
• 5+ years of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.
• 5+ years of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).
• 5+ years of experience with one or more…