AI, ML & Data Analytics Engineer / Sr Engineer

Job Area: Engineering Group, Engineering Group > Hardware 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 Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements.

Minimum Qualifications:

Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience.

OR
Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience.

OR
PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field.

Qualcomm is a company of inventors that unlocked 5G & On Device AI, ushering in an age of rapid acceleration in connectivity and AI with new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs & AI potential into world-changing technologies and products. This is the Invention Age and this is where you come in.

Our team is working on application of State of Art AI & ML Technologies, to solve multiple Business Problems in Chip Design-Qualification-Debug Engineering Process & increase efficiency of Engineering process.

You are expected to perform following duties

Design Application/AI Pipeline using LLM & GenAI Platforms to Solve Business Problems.

LLM & RAG Tuning, experiment with various approach & Models/Algorithms to find best suited Solution.

Develop Agents & User Interfaces to enable Engineers to use Solution effectively.

Design & Develop Data Ingestion & Analysis Algorithm & Platforms

Develop custom ML Models applying state of art technologies, catering to specific usecases and solutions.

Plan with Team lead, take responsibility of in time delivery and quality.

Train and Support Internal teams in issue resolution.

Participate in Cross Department initiatives & activities to solve Technical problems with cross-functional team.

Contributing towards the continuous development & innovation of Tools, Technology and User Experience

Minimum Qualifications:

Bachelor's degree in Science, Engineering, or related field.

Strong Programming skill in C/C++ & Python.

2+ years Handson in AI/ML.

Experience with Supervised & Unsupervised Machine Learning.

Strong Data Analysis Capability.

Experience in Data Analytics, Python Data Analytics & Charting Libraries.

Fast Learner, with strong technical background

Preferred Qualifications:

Master's degree in Science, Engineering, or related field.

SW Architecture & Design patterns.

Experience in Database (SQL), ETL Pipeline Frameworks.

Exposure to AWS Cloud stack

Hands On experience in Data Representation/Plotting in Dashboard (i.e. Tableau, Power BI etc)

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).

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.