Posted:
12/18/2024, 10:52:19 AM
Location(s):
Oregon, United States ⋅ Hillsboro, Oregon, United States
Experience Level(s):
Junior ⋅ Mid Level
Field(s):
AI & Machine Learning ⋅ Data & Analytics
Workplace Type:
Hybrid
Do Something Wonderful!
Intel put the Silicon in Silicon Valley. No one else is this obsessed with engineering a brighter future. Every day, we create world changing technology that enriches the lives of every person on earth. So, if you have a big idea, let's do something wonderful together. Join us, because at Intel, we are building a better tomorrow.
Who We Are
This position is in IP & Technology Enabling Q&R. The primary focus of this organization is to evaluate reliability of IPs and develop innovative circuits on test chips for the technology reliability characterization. Utilize reliability data collected from test chips and machine learning & AI algorithms to predict reliability of Intel products.
Who You Are
Your responsibilities include but not limited to:
Develops algorithms and applications, performs large scale experimentation, builds data driven apps to translate data into intelligence, and develops solutions for solving business problems using coding.
Incorporates predictive modeling, statistics and other analysis techniques for collecting, exploring, interpreting and extracting insights from structured and unstructured data.
Organizes, interprets and structures insights from data, detects data anomalies and makes corrections.
Performs descriptive statistical analysis, develops visualizations, applications, dashboards, or presentations and communicates insights in a clear and effective way to help the organization with better decision making.
Supports troubleshooting service offerings using proprietary analytical platforms, commercial tools and custom scripts.
Drives the design, development and optimization of artificial intelligence/machine learning, deep learning training and inference frameworks, contributes to the research and development of data science activities and supports product development efforts as required.
Develops and programs methods, processes, and systems to consolidate and analyze diverse big data sources, establishing standard methodologies for data science including modeling, coding, analytics, and experimentation.
Explores, compiles, and collects data from new or known sources, sometimes in partnership with technical staff/engineers to derive useful insights and/or make predictions.
Works with development teams and business units to ensure models are scalable and can be implemented as part of the delivered solution across clients.
You must possess the below minimum education requirements and minimum required qualifications to be initially considered for this position. Relevant experience can be obtained through schoolwork, classes, project work, internships, and/or military experience. Additional preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications
PhD in Electrical Engineering, Engineering Science, Mechanics, Computer Engineering, Computer Science, Physics.
Preferred Qualifications
Experience in Machine learning algorithms development, Artificial Intelligence applications development, Si data analysis
Benefits:
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here:
https://jobs.intel.com/en/benefits
Annual Salary Range for jobs which could be performed in the US:
$123,419.00-$185,123.00Salary range dependent on a number of factors including location and experience.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.Website: https://www.intel.com/
Headquarter Location: Santa Clara, California, United States
Employee Count: 10001+
Year Founded: 1968
IPO Status: Public
Last Funding Type: Post-IPO Equity
Industries: Artificial Intelligence (AI) ⋅ Information Technology ⋅ Product Design ⋅ Semiconductor ⋅ Software