Autonomous Workload Management Intern

Key Skills

Autonomous vehicles, C Programming, C++, Deep Learning, Linux Operating system, Machine learning techniques, Python Programming, SQL

Job Description

Teradata transforms how businesses work and people live through the power of data. Teradata leverages all of the data, all of the time, so customers can analyze anything, deploy anywhere, and deliver analytics that matter most to them. And we do it on-premises, in the Cloud, or anywhere in between. We call this pervasive data intelligence. It’s the answer to the complexity, cost and inadequacy of today’s approach to analytics.

The Teradata culture isn’t just about one kind of person. So many individuals make up who we are, making us that much more unique. It’s what sets apart the dynamic, diverse and collaborative environment that is Teradata. But even as individuals, there’s one thing that we all share —our united goal of making Teradata and our people, the best we can be.

Our Team:

Database and Analytics Workload Management

Your Opportunity:

Summer Internship, work in an Agile SCRUM team contributing to all phases of the software development lifecycle (design, code, test, maintain) developing software written in C, C++, python, and SQL Some opportunity to work on machine learning / deep learning models for the candidate with background experience in these areas.

Your Business Objectives would include:

• Extending the current SQL Engine workload management capabilities to include the machine learning and deep learning engines in the Teradata Vantage system. (C, C++, SQL, python)
• Contribute to improving the user experience for workload management and performance tuning through automation and simplification. (C, SQL, python, ML/Deep Learning modeling)

Experience, skills, and knowledge requirements:

Required:

• C/C++ programming in Linux Dev Environment
• Python programming

Desired:

• Knowledge of relational database (SQL)
• Machine Learning / Data Science
• Deep Learning Modeling

Basic Qualifications/Requirements

Must be enrolled in BS/MS/PhD degree program. With graduation dates between December 2023-June 2025.