Staff Engineer, Gen AI

Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Software Engineering

General Summary:

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 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.

Minimum Qualifications:

Bachelor’s degree in engineering, Computer Science, or related field and 10+ years of Systems Engineering or related work experience.
OR
Master’s degree in engineering, Computer Science, or related field and 9+ years of Systems Engineering or related work experience.

Requirements:

Strong 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.

Experience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU).
Hands-on experience in C/C++ programming, Design Patterns and OS concepts.
Excellent analytical and debugging skills.

Exposure to shell scripts, python scripts, understanding of Linux/Windows systems and automation scripts/environment.

Good communication skills, presentation skills and should manage his/her tasks independently.

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 and familiarity

·         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 languages like OpenCL and CUDA is a plus

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

• 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

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