Embedded Ai Engineer

General Summary

As a leading technology innovator, Qualcomm pushes the boundaries of what’s possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.

Job location: Hyderabad.

Team

Join the exciting AI software team at Qualcomm focused on integrating cutting edge GenAI models on Qualcomm chipsets. The team uses Qualcomm chips extensive heterogeneous computing capabilities to allow inference of GenAI models on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power.

Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power.

Responsibilities

• In this role, you will spearhead the development and commercialization of the Qualcomm AI Runtime. 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. You’ll 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.

Qualifications

• Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master’s degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field.

Requirements

• Masters/bachelors degree in computer science or equivalent.
• 1- 15 years of relevant work experience in software development. (We have openings at multiple levels)
• Strong in C++ programming, Design Patterns and OS concepts.
• Experience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU).
• Understanding of Generative AI models LLM, LVM, LMMs and building blocks (self-attention, cross attention, kv caching etc.).
• Floating-point, Fixed-point representations and Quantization concepts.
• Excellent analytical and debugging skills.
• Good communication skills (verbal, presentation, written).
• Ability to collaborate across a globally diverse team and multiple interests.

Important Note

These positions are strictly for AI/ML inference SDK development on embedded systems, not Applied AI, Data Science, or ML model training roles.

Strong Embedded experience is mandatory.