Software Applications Engineer

Advanced Micro Devices, Inc•Austin, TX

1d•Onsite

About The Position

At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we’re looking for talent who feel the same: people who want to leave the planet better than they found it, those who don’t shy away from humanity’s challenges but are determined to help solve them. AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you’re designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger — technology that moves the world forward.

Requirements

Performing software verification
Programming in Python, R, or Ruby
Data Structures, Data Management, Data Warehousing, and Data Modeling
Enabling version controlled and automated deployments
Translating data into analytical insights and dashboards
PowerBI, SQL, Snowflake, and Azure Devops
Developing data models and scripts

Responsibilities

Develop and implement techniques or analytics software applications to transform data into meaningful information using data-oriented programming languages and visualization software.
Design and implement RPA-integrated automated ETL workflows to extract data from on-premises data warehouses, ERP tool APIs, Foundry subscription emails, and SharePoint files into a cloud data warehouse.
Develop performance optimized data transformations and ML ready feature pipelines in Databricks, leveraging delta lake architecture.
Utilize VBA stewardship process to upload data, streamlining complex data ingestion processes within the enterprise data architecture.
Productize Power BI application to provide end-to-end visibility into the product lifecycle, tracking material movement throughout manufacturing and fabrication processes.
Design interactive dashboards to enable real-time visibility into data re inventory movements across various manufacturing, storage, and distribution stages.
Implement custom SQL-based row-level security mechanisms across all database objects and Power BI reports to ensure restricted access based on compliance with business policies.
Orchestrate secure integration into cloud warehouse.
Develop modular data models.
Analyze, manipulate, or process large sets of data using statistical software.
Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets.
Test, validate, and reformulate models.
Under supervision, exercise judgment within defined company procedures and practices to select methods, techniques and evaluation criteria for obtaining results.