AI ML Engineer

Qualcomm; Hyderabad; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Qualcomm India Private Limited in Hyderabad is seeking an AI Runtime Engineer to spearhead the QAIRT SDK on Qualcomm SoCs, focusing on edge AI inference performance and on-device deployment of GenAI models.

You will work with a world-class team to optimize large C/C++ software stacks, explore LLM/LVM deployment on Snapdragon platforms, and push the boundaries of power-efficient AI at the edge.

Qualifications

• Master’s/Bachelor’s degree in computer science or equivalent.
• 3+ years of relevant software development experience.
• Strong understanding of Generative AI models – LLM, LVM and building blocks.
• Floating-point, Fixed-point representations and Quantization concepts.
• Experience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU).

Responsibilities

• Spearhead the development and commercialization of the QAIRT SDK on Qualcomm SoCs.
• Push the limits of performance from large models.
• Deploy large C/C++ software stacks with best practices for edge AI.
• Collaborate across a globally diverse team to deliver on-device GenAI capabilities.

Skills

C/C++

GenAI models

Edge deployment

AI hardware acceleration

Communication skills

Team collaboration

Education

Bachelor's degree in CS/Engineering

Tools

Linux

Job description

Company

Qualcomm India Private Limited

Job Area

Engineering Group, Engineering Group > Software Applications Engineering

General Summary

Job Description

More Details Below

Join the exciting Generative AI 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-device without a need for connection to the cloud. 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. Utilize this power efficient hardware and Software stack to run traditional models, Large Language Models (LLMs) and Large Vision Models (LVM) at near GPU speeds!

Responsibilities

In this role, you will spearhead the development and commercialization of the Qualcomm AI Runtime (QAIRT) SDK on Qualcomm SoCs. 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.

Requirements

Master’s/Bachelor’s degree in computer science or equivalent.

3+ years of relevant work experience in software development. (Bachelors)

Strong understanding of Generative AI models – LLM, LVM and LLMs and building blocks

Floating-point, Fixed-point representations and Quantization concepts.

Experience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU).

Strong development skills in C/C++

Excellent analytical and debugging skills.

Good communication skills (verbal, presentation, written).

Ability to collaborate across a globally diverse team and multiple interests.

Preferred Qualifications

• Strong understanding of SIMD processor architecture and system design.
• Proficiency in object-oriented software development.
• Familiarity with Linux and Windows environment
• Strong background in kernel development for SIMD architectures.
• Familiarity with frameworks like llama.cpp, MLX, and MLC is a plus.
• Good knowledge of PyTorch, TFLite, and ONNX Runtime is preferred.
• Experience with parallel computing systems and Assembly is a plus.

Minimum Qualifications

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

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