Engineer- AI/ML-embedded, C++

Qualcomm; Hyderabad; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

Qualcomm India Private Limited seeks a seasoned software engineer to drive ML solution development for on-device GenAI, optimizing SNPE SDK across Snapdragon platforms. You will port AI/ML workloads and enhance performance on CPU/GPU/NPU while ensuring efficient deployment of complex C/C++ stacks.

The role emphasizes strong programming in C/C++, embedded systems experience, and robust collaboration with a globally distributed team to push cutting-edge ML capabilities into billions of devices.

Qualifications

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
• Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
• PhD in Engineering, Information Systems, Computer Science, or related field.
• 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

Responsibilities

• Develop and commercialize ML solutions like SNPE SDK on Qualcomm SoCs.
• Port AI/ML solutions to various platforms and optimize performance on CPUs/GPUs/NPUs.
• Maintain deployment aspects of large software C/C++ dependency stacks and stay current with industry advances.

Skills

C

C++

Embedded systems

Debugging

Communication skills

Education

Bachelor's degree in Engineering/CS or related field

Master's degree in Engineering/CS or related field

PhD in Engineering/CS or related field

Tools

OpenCL

CUDA

SNPE SDK

Job description

Company

Qualcomm India Private Limited

Job Area

Engineering Group, Engineering Group > Software Engineering

General Summary

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!

About the team

Join the growing team at Qualcomm focused on advancing state-of-the-art in Machine Learning. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities to allow inference of trained neural networks 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. See your work directly impact billions of devices around the world.

Responsibilities

In this position, you will be responsible for the development and commercialization of ML solutions like Snapdragon Neural Processing Engine (SNPE) SDK on Qualcomm SoCs. You will be developing various SW features in our ML stack. You would be porting AI/ML solutions to various platforms and optimize the performance on multiple hardware accelerators (like CPU/GPU/NPU). You will have expert knowledge in deployment aspects of large software C/C++ dependency stacks using best practices. You will also have to keep up with the fast-paced development happening in the industry and academia to continuously enhance our solution from software engineering as well as machine learning standpoint.

Work Experience

6+ years of relevant work experience in software development.

Live and breathe quality software development with excellent analytical and debugging skills.

Strong understanding about Processor architecture, system design fundamentals.

Strong development & programming skills in C and C++.

Experience with embedded systems development or equivalent.

Excellent communication skills (verbal, presentation, written).

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

Preferred Qualifications

• Experience in embedded system development.
• Experience in C, C++, OOPS and Design patterns.
• Experience in Linux kernel or driver development is a plus.
• Strong OS concepts.

Level of Responsibility

• Works independently with minimal supervision.
• Decision-making may affect work beyond immediate work group.
• Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc.
• Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively.

Minimum Qualifications

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
• Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
• PhD in Engineering, Information Systems, Computer Science, or related field.
• 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

Engineer (AISW)

Job Location

Hyderabad

Additional Responsibilities

In this position, you will be responsible for the development and commercialization of ML solutions like Snapdragon Neural Processing Engine (SNPE) SDK on Qualcomm SoCs. You would be porting AI/ML solutions to various platforms and optimize the performance on multiple hardware accelerators (like CPU/GPU/NPU). You will have expert knowledge in deployment aspects of large software C/C++ dependency stacks using best practices. You will also have to keep up with the fast-paced development happening in the industry and academia to continuously enhance our solution from software engineering as well as machine learning standpoint.

Requirements

• Master’s or Bachelor’s degree in Computer science or equivalent.
• 1-2 years of relevant work experience in software development.
• Basics of Deep-learning and familiarity with neural network operators.
• Strong development skills in C and 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

• Knowledge of object-oriented software development.
• Knowledge of Processor architecture and system design fundamentals.
• Experience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU).
• Background in mathematical operations: linear algebra, fast-math libraries.
• Floating-point, Fixed-point representations and Quantization concepts.
• Knowledge of parallel computing systems and associated languages like OpenCL, CUDA, etc. is a plus.

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