Engineer, Staff-Machine Learning-Embedded,C++

Qualcomm; Hyderabad; On-site; INR 1,400,000 - 2,400,000; Full time

Job summary

Qualcomm India Private Limited is seeking a software engineer to design and validate embedded and cloud edge software for GenAI workloads. You will collaborate across hardware, systems, and test teams to deliver high-performance inference on Snapdragon platforms.

The role emphasizes deploying large C/C++ stacks, understanding LLMs and transformers, and pushing GenAI capabilities on-device while optimizing power and performance. Strong collaboration across a global team is required.

Qualifications

• Bachelor's or higher in CS/Engineering with relevant software experience.
• 2+ years with languages such as C, C++, Java, Python.
• Experience with Generative AI models and edge deployment concepts.
• Familiar with AI hardware accelerators and performance optimization.

Responsibilities

• Develop and commercialize the Qualcomm AI Runtime (QAIRT) SDK on SoCs.
• Deploy large C/C++ software stacks for AI inference.
• Stay updated on GenAI advances and edge deployment techniques.

Skills

C/C++ programming

Python scripting

Java

Analytical skills

Debugging

Design patterns

OS concepts

Communication skills

Team collaboration

Education

Bachelor's degree in CS/Engineering

Master's degree in CS/Engineering

PhD in CS/Engineering

Tools

llama.cpp

MLX

MLC

PyTorch

TFLite

ONNX Runtime

OpenCL

CUDA

Linux

Windows

Job description

Company

Qualcomm India Private Limited

Job Area

Engineering Group, Engineering Group > Software Engineering

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.

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.

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.

Requirements

• Master’s/Bachelor’s degree in computer science or equivalent.
• 6+ years of relevant work experience in software development.
• 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).
• Strong in C/C++ programming, Design Patterns and OS concepts.
• Good scripting skills in Python.
• 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 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.

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 [e-mail] 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).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

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