Senior Lead, Edge AI & On-Device ML Runtimes

Qualcomm; San Diego (CA); Presencial; USD 194 000 - 292 000; Tempo integral

Resumo da oferta

Qualcomm Technologies, Inc. is seeking an experienced software engineer to advance state-of-the-art AI on edge devices. Join a world-class team developing generative AI solutions, model optimization tools, and AI runtime software that enable on-device deployment with optimal performance and efficiency.

The role requires leadership of complex initiatives, mentoring engineers, and collaboration across research, software, and hardware teams to achieve ambitious milestones.

Qualificações

• 6+ years in Hardware/Software/Systems Eng or related field.
• 5+ years with C/C++ and Python industrial development.
• 5+ years in embedded systems development and optimization.

Responsabilidades

• Lead end-to-end embedded AI software and runtime systems for ML on Qualcomm hardware.
• Design, develop, debug, profile, and optimize AI/ML frameworks and runtime software.
• Prototype novel AI/ML solutions aligned with product roadmaps and system-level innovation.
• Provide technical leadership for design, training, evaluation, and deployment of ML solutions.
• Collaborate with hardware, software, and research teams to define technical direction.
• Mentor team members and communicate complex concepts to technical and leadership audiences.

Conhecimentos

C/C++

Python

Embedded systems

OS-level interactions

ML frameworks

Formação académica

Bachelor's degree in CS/Engineering/IS

Master's degree in CS/Engineering/IS

PhD in CS/Engineering/IS

Ferramentas

Qualcomm AI Software Stack

Descrição da oferta de emprego

Qualcomm Technologies, Inc. is seeking an experienced software engineer to advance state-of-the-art AI on edge devices. Join a world-class team developing generative AI solutions, model optimization tools, and AI runtime software that enable on-device deployment with optimal performance and efficiency.

The role requires leadership of complex initiatives, mentoring engineers, and collaboration across research, software, and hardware teams to achieve ambitious milestones.