On-Device AI Research Engineer: Quantization & Efficiency

Qualcomm; San Diego (CA); On-site; USD 140,800 - 211,200; Full time

Benefits offered by this job

Competitive annual discretionary bonus

Opportunity for annual RSU grants

Job summary

Qualcomm in San Diego is seeking algorithm engineers specializing in generative AI and machine learning to join their innovative team. This role involves research and development for advanced algorithms on industry-leading chips deployed worldwide.

Qualified candidates should have experience in hardware or software engineering and a degree in a related field. The position offers a salary between $140,800 and $211,200 with competitive bonuses and RSU grants.

Qualifications

• 2+ years of experience in Hardware or Software Engineering.
• Knowledge of machine learning algorithms or systems engineering.
• Experience with efficient inference algorithms.
• Strong background in model compression techniques.

Responsibilities

• Research and develop algorithms for generative AI and model efficiency.
• Implement efficient inference algorithms for on-device applications.
• Prototyping generative AI systems and innovations.

Skills

Generative AI

Deep Learning

Python

Pytorch

Education

Bachelor’s degree in Computer Science or related field

Master's degree in Computer Science or related field

PhD in Computer Science or related field

Job description

Qualcomm in San Diego is seeking algorithm engineers specializing in generative AI and machine learning to join their innovative team. This role involves research and development for advanced algorithms on industry-leading chips deployed worldwide.

Qualified candidates should have experience in hardware or software engineering and a degree in a related field. The position offers a salary between $140,800 and $211,200 with competitive bonuses and RSU grants.