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.
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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.
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.
2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
Engineer (AISW)
Job Location: Hyderabad
More details below:
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 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.
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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If you would like more information about this role, please contact Qualcomm Careers.
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