Senior Staff ML Engineer — Edge AI & GenAI Systems

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

Job summary

Qualcomm AI Research seeks talented AI software engineers to enable AI on edge devices. You will join a high‑caliber team building GenAI solutions with model optimization tools for edge deployment, focusing on power, memory, and compute efficiency.

You will work across hardware, software, and systems to bring next‑gen AI capabilities to smartphones, autonomous vehicles, robotics, and IoT devices.

Qualifications

• Bachelor's degree with 6+ years of relevant work experience.
• Master's degree with 5+ years of relevant work experience.
• PhD with 4+ years of relevant work experience.

Responsibilities

• Develop end-to-end embedded AI software for training and fine-tuning models on Qualcomm hardware.
• Design and optimize ML/AI software stack, kernels, and runtime for power efficiency.
• Collaborate with AI Processor Hardware team on new ML operators and layers.
• Create debugging/profiling tools and SDKs for customer deployment.

Skills

ML frameworks (PyTorch)

Programming (Python)

Programming (C/C++)

Software design

Android programming

HW-aware optimization

Neural network training

Quantization

QNN SDK experience

Education

Bachelor's degree in CS/Engineering/IS

Master's degree in CS/Engineering/IS

PhD in CS/Engineering/IS

Tools

QNN SDK

Job description

Qualcomm AI Research seeks talented AI software engineers to enable AI on edge devices. You will join a high‑caliber team building GenAI solutions with model optimization tools for edge deployment, focusing on power, memory, and compute efficiency.

You will work across hardware, software, and systems to bring next‑gen AI capabilities to smartphones, autonomous vehicles, robotics, and IoT devices.