Job Description

Company:

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Qualcomm Technologies International Ltd

Job Area:

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Engineering Group, Engineering Group > Software Engineering

General Summary:

We are looking for a Senior Engineer to promote and execute the showcasing of Qualcomm AI hardware products, technologies, software, and ecosystem including AI Inferencing Cloud solutions towards key Industrial Customers in Europe mainly in Germany and France


As a Qualcomm Customer Engineering expert you will support, research, optimize, and validate systems-level software, hardware, architecture, algorithms, and machine learning solutions that enables the development of cutting-edge technology, specifically in the AI/ML field.


Qualcomm CE Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. This is a great opportunity to innovate and develop leading-edge products and solutions around best-in-class Qualcomm high-performance AI inference accelerators for cloud, edge and hybrid AI applications.

https://www.qualcomm.com/products/technology/processors/cloud-artificial-intelligence/cloud-ai-100

https://github.com/quic/cloud-ai-sdk

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.

Required Skills:

2+ years of experience with Python, C++ 2+ years of experience with PyTorch, TensorFlow or other ML framework 2+ years of experience in ML development, deployment and applications

Preferred Qualifications:

Master's or PhD Degree in Engineering, Information Systems, Computer Science, Physics or related field 4+ years of Systems Engineering or related work experience 2+ years of Machine Learning systems based on CV, NLP and LLM architectures Familiarity with architectural patterns for large-scale software applications Experience with MLOps for AI application development and deployments Experience with automation tools like GitOps, containerization technologies (Docker, Kubernetes), ML lifecycle management tools is a plus Working knowledge of Rust is a plus Experience with fine-tuning GenAI models and Reinforcement Learning is a plus Problem solution experience and customer focus 2+ years of experience working in a large matrixed organization

Principal Duties and Responsibilities:

Develop AI/ML solutions that bring together Qualcomm AI hardware products, technologies, software, and ecosystem and provide best-in-class AI inference performance, power efficiency and scalability Assist in the design, development, and implementation of Gen AI and LLM applications Contribute towards implementing fine tuning and distillation techniques Apply Systems knowledge and experience to research, design, develop, simulate, and/or validate systems-level software, AI hardware, architecture, deep learning algorithms, and AI solutions while ensuring system-level requirements and standards are met Perform ML model benchmarking and functional analysis to drive requirements and specifications Support customer engagement with AI model/workload optimization and deployment Build ML systems/solutions and develop and analyzes system level design including requirements, interface definition, functional/performance definition, and implementation of a new system or modification of an existing system Collaborates with own team and other teams to complete project work, including implementing and testing features and verifying the accuracy of systems Keep abreast with the latest advancements in the AI/ML space (models, HW/SW) and drive innovative solutions. Develops new and innovative ideas for a product or feature area. Drives triage of problems at the system level to determine root cause and presents results of testing and debugging to team members. Ability to travel upto 30% of their time
References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.

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).


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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If you would like more information about this role, please contact Qualcomm Careers.