Lead Engineer, Senior-Machine Learning, embedded, C++

About the role

The team uses Qualcomm chips’ extensive heterogeneous computing capabilities to allow inference of GenAI models on-device without a need for connection to the cloud. Utilize this power efficient hardware and Software stack to run Large Language Models (LLMs) and Large Vision Models (LVM) at near GPU speeds!

What you'll do

• As an AI inferencing expert, you'll push the limits of performance from large models
• Your mastery in deploying large C/C++ software stacks using best practices will be essential
• Stay on the cutting edge of GenAI advancements, understanding LLMs/Transformers and the nuances of edge-based GenAI deployment
• Most importantly, your passion for the role of edge in AI's evolution will be your driving force

What you need

• 6–11 years in electrical & electronics
• C++
• Machine learning
• C
• Python
• LLMs
• Java
• B.Tech or B.E. or B.Sc or BCA or M.Tech or PhD or MCA

Good to have

• System design
• Linux
• PyTorch