Senior ML Engineer - Edge AI & GenAI

MaC VC; San Diego (CA); On-site; USD 194,000 - 292,000; Full time

Job summary

Qualcomm AI Research is seeking talented AI software engineers to enable AI technologies on edge devices. You will join a high-caliber team building GenAI solutions, with model optimization tools to deploy models to edge devices for optimal power, memory, and computation use.

You will work in a cross-functional environment spanning hardware, software and systems, deploying on Qualcomm AI accelerator engines and on devices such as smartphones, autonomous vehicles, robotics, and IoT devices.

Qualifications

• Bachelors degree with 6+ years of hardware/software/systems engineering experience, or
• Masters degree with 5+ years, or
• PhD with 4+ years of experience in related field.

Responsibilities

• Develop end-to-end embedded AI software to train and finetune neural networks on Qualcomm hardware.
• Design and enhance ML/AI software stack, kernels and runtime for performance/power efficiency.
• Collaborate with AI Processor Hardware team to implement new ML operators for next-gen processors.
• Develop debugging/profiling tools and SDKs for rapid customer deployment.

Skills

Machine Learning frameworks

Deep Learning

Python

C

C++

Android development

Education

Bachelor's degree in Computer Science/Engineering/Information Systems or related field

Master's degree in Computer Science/Engineering/Information Systems or related field

PhD in Computer Science/Engineering/Information Systems or related field

Tools

Qualcomm QNN SDK

Job description

Qualcomm AI Research is seeking talented AI software engineers to enable AI technologies on edge devices. You will join a high-caliber team building GenAI solutions, with model optimization tools to deploy models to edge devices for optimal power, memory, and computation use.

You will work in a cross-functional environment spanning hardware, software and systems, deploying on Qualcomm AI accelerator engines and on devices such as smartphones, autonomous vehicles, robotics, and IoT devices.