Senior ML Engineer - Edge AI & GenAI Systems

QUALCOMM, Inc.; San Diego (CA); On-site; USD 194,000 - 292,000; Full time

Job summary

Qualcomm Technologies, Inc. is seeking AI software engineers to enable AI on edge devices and deliver GenAI solutions with optimized power, memory, and compute. You will join a multi-disciplinary team working across hardware, software and systems to push on-device AI capabilities.

You will help design ML/AI stacks, runtimes, and new operators for next-gen processors, while collaborating with hardware teams and delivering tools and SDKs for customers.

Qualifications

• Bachelor’s/Master’s/PhD in a relevant field with multiple years of hardware, software, or systems experience.
• Experience with ML frameworks (PyTorch) and model deployment on edge hardware.
• Strong programming skills in Python/C/C++ and good software design principles.

Responsibilities

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

Skills

ML frameworks PyTorch

Programming languages Python/C/C++

Software design

Android knowledge

QNN SDK

NN training & quantization

Education

Bachelor's degree in CS/Engineering

Master's degree in CS/Engineering

PhD in CS/Engineering

Tools

Qualcomm QNN SDK

Job description

Qualcomm Technologies, Inc. is seeking AI software engineers to enable AI on edge devices and deliver GenAI solutions with optimized power, memory, and compute. You will join a multi-disciplinary team working across hardware, software and systems to push on-device AI capabilities.

You will help design ML/AI stacks, runtimes, and new operators for next-gen processors, while collaborating with hardware teams and delivering tools and SDKs for customers.