Senior ML Engineer — Edge AI & Embedded Systems

Qualcomm; San Diego (CA); On-site; USD 158,000 - 238,000; Full time

Job summary

Qualcomm Technologies, Inc. is seeking a Machine Learning Engineer to create and implement machine learning techniques, frameworks, and tools that enable efficient discovery and utilization of state-of-the-art ML solutions across various domains.

You will collaborate with cross-functional teams to enhance mobile, edge, auto, and IoT products through ML hardware and software. The role emphasizes developing ML models, optimizing ML software, and integrating ML solutions with hardware, with

Qualifications

• Bachelor's degree with 4+ years related work experience.
• Master's degree with 3+ years related work experience.
• PhD with 2+ years related work experience.

Responsibilities

• Leverages advanced ML knowledge to extend training/runtime frameworks and model efficiency tools.
• Architects and develops ML hardware for inference or training solutions.
• Develops optimized software enabling AI models on hardware with ML kernels or compilers.
• Applies ML techniques to products to enable customers to do the same.
• Prototypes novel ML solutions aligned with proposals/roadmaps for complex products.
• Oversees experiments to train/evaluate ML models and software.

Skills

ML frameworks

Embedded systems

Programming languages

Statistics

Matrix organization experience

Low-level OS interactions

Technical leadership

Stakeholder interaction

Education

Bachelor's degree with 4+ years related work experience

Master's degree with 3+ years related work experience

PhD with 2+ years related work experience

Job description

Qualcomm Technologies, Inc. is seeking a Machine Learning Engineer to create and implement machine learning techniques, frameworks, and tools that enable efficient discovery and utilization of state-of-the-art ML solutions across various domains.

You will collaborate with cross-functional teams to enhance mobile, edge, auto, and IoT products through ML hardware and software. The role emphasizes developing ML models, optimizing ML software, and integrating ML solutions with hardware, with