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)