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:
Bachelors degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience.
OR
Masters 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.
In this role you will be solving following domain challenges through various SW engineering ie AI/ML, Data Analytics, Cloud Computing:
Data Ingestion, Discovery, Cataloging, Indexing of various format for Big Data Analysis.
Correlation & Fusion of data of a multivariate System.
Clustering & Labeling of data streams.
Complex Data processing pipeline to generate Metric, Statistical Analysis & Actionable Insights.
Learn from Past Data. Detect Anomalies in Data Stream, Generate decision support & Suggestions.
Learn the domain & user challenges & develop application to solve Business problems or improve User Experience.
You are expected to perform following duties
Develop Algorithms, Big Data Analytics, AI/ML, GUI & Chart, API.
Design & Architect Infra & Cloud Platform.
Development & Test of New Software & Features.
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:
Bachelors degree in Science, Engineering, or related field.
Strong Programming skill in C/C++ & Python.
4+ years Handson Coding & Designing SW/GUI.
SW Architecture & Design patterns.
Strong Data Analysis Capability.
Experience in Data Analytics, Python Data Analytics & Charting Libraries.
Fast Learner, with strong technical background.
Preferred Qualifications:
Masters degree in Science, Engineering, or related field.
Handson experience in Database (SQL), Webstack (React, Flask), ETL Pipeline Frameworks.
Exposure to AWS Cloud stack
Hands On experience in Data Representation/Plotting in Dashboard (ie Tableau, Power BI etc).
Experience with Supervised & Unsupervised Machine Learning
