Cloud – Machine Learning Staff Engineer Full-time

Company:
Qualcomm India Private Limited

Job Area:
Engineering Group, Engineering Group > Software Applications Engineering

General Summary:

Minimum Qualifications:
• Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Applications Engineering, Software Development experience, or related work experience.
OR
Master’s degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Applications Engineering, Software Development experience, or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Applications Engineering, Software Development experience, or related work experience.
• 2+ years of experience with Programming Language such as C, C++, Java, Python, etc.
• 1+ year of experience with debugging techniques.

Job Overview

Qualcomm QCT Customer Engineering is looking for a Software Engineer with a strong Machine Learning Engineering background to support our exciting new Cloud AI products. The Cloud AI product line brings superior power and performance capabilities to meet the growing inference needs of Cloud Data Centers, Edge and other applications. In this role you will work with Qualcomm’s partners to develop and deploy best in class ML applications based on popular frameworks such as PyTorch, TensorFlow, and ONNX, that are optimized for Qualcomm’s Cloud AI hardware accelerators. The work will include model assessment of throughput, latency and accuracy, model profiling and optimization, end-to-end application pipeline development, integration with customer frameworks and libraries and responsibility for customer documentation, training and demos. You will work with a highly collaborative and focused global team with a track record of successfully launching market-leading Qualcomm technologies and products.
Qualcomm Cloud AI platform is ideal platform for deploying huge AI workloads like Large Language Models efficiently. Experience with optimized deployment of large models is an additional advantage.

Preferred Qualifications
• Hands-on experience running deep learning models on popular ML frameworks such as PyTorch, TensorFlow, ONNX
• Experience profiling and optimizing software
• Experience with C++, Python
• Experience developing software solutions that run in Linux environments including containers and virtual machines
• Willingness to work in a structured software development environment delivering high-quality implementations (code & test)
• Experience with Source Code and Configuration management tools, git knowledge is required
• Good English communication (written and verbal) and positive interpersonal skills
• Experience with ARM architecture, and experience with model deployment (especially Large Language models, etc.) is an advantage.

Applicants: If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email to accommodationsupport

Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.

Qualcomm is an equal opportunity employer and supports workforce diversity.

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.