Edge GenAI ML Engineer — Embedded AI & Optimizations

Qualcomm; San Diego (CA); On-site; USD 123,000 - 184,000; 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, optimizing models for Qualcomm AI accelerator engines, and deploying on-device solutions with optimized power, memory, and computation.

Collaborate across hardware, software and systems for real-world devices. You will work on end-to-end embedded AI software, ML operators, and development tools to accelerate rapid deployment of new

Qualifications

• Bachelor's degree in CS/Engineering or related field.
• Experience with AI software on embedded hardware.
• Strong knowledge of ML frameworks (e.g., PyTorch).

Responsibilities

• Development of end-to-end embedded AI software to train and finetune neural network models on Qualcomm hardware.
• Design and enhance the ML/AI software stack, kernels, and runtime for performance and power efficiency.
• Collaborate with AI Processor Hardware team to implement ML operators/layers for next-gen AI processors.
• Develop debugging and profiling tools and SDKs for customer deployments.

Skills

C/C++

Python

PyTorch

Software design

Android programming

Neural network training

Quantization

QNN SDK

Education

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

Tools

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, optimizing models for Qualcomm AI accelerator engines, and deploying on-device solutions with optimized power, memory, and computation.

Collaborate across hardware, software and systems for real-world devices. You will work on end-to-end embedded AI software, ML operators, and development tools to accelerate rapid deployment of new