Software Applications Engineer

AMD; Austin (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

AMD, Inc. in Austin, TX, is hiring a Software Applications Engineer to develop analytics software, ETL workflows, and data models. You will work with Databricks Delta Lake, Power BI, SQL, and cloud data warehouses, turning large datasets into actionable insights for manufacturing and operations.

Under supervision, you will design interactive dashboards for real-time visibility, apply data mining and ML techniques, and ensure secure data access. Travel is not required.

Qualifications

• Master's degree in a related technical field.

Responsibilities

• Develop and implement analytics software applications.

Skills

Python

R

Ruby

Data Structures

Data Management

Data Warehousing

Data Modeling

Version control

Automated deployments

PowerBI

SQL

Snowflake

Azure DevOps

Education

Master's degree in Data Analytics, Data Science, Computer Science, Information Technology, or related field

Tools

Databricks

Delta Lake

Job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD.

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.

Job Role and Responsibility:

AMD, Inc., is hiring Software Applications Engineer to 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.

Travel required: NO

Qualifications: Degree required

Master's degree or foreign equivalent in Data Analytics, Data Science, Computer Science, Information Technology, or related field.

Qualifications: Amount and type of experience required:

N/A

Specific skills required: The following skills are required:

• 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; and
• Developing data models and scripts.

Experience may be gained through graduate-level coursework, research, or internship experience.

Preferred Skills:

N/A

Benefits offered are described: AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.

This posting is for an existing vacancy.