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# Software Engineer - Data Center Systems Quality

- **Company:** Apple Inc.
- **Location:** Sunnyvale, CA, United States
- **Experience:** Experienced
- **Salary:** $147,400.0 - $272,100.0
- **Contract:** Permanent contract
- **Skills:** Testing (Software), Board Bringup, Data Analysis, Automation of Tests, Code Coverage, Computer Engineering, Data Centers, Data Visualization, Software Debugging, Microprocessors, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, Verification and Validation (Software), System Testing, Tableau (Software), Test Data, Pytorch, Hardware Testing, Integration Tests, Bug Reporting, Information Technology
- **Published:** May 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c22fc5d9d5f98975

## About the Role

Do you have experience in Tooling?, Do you have a Master's degree?, Master's or PhD in Computer Science, Computer Engineering, Data Science, Machine Learning, or equivalent advanced degree

Experience with data analysis and developing data visualizations and reporting using tools such as Tableau

Experience applying machine learning to anomaly detection, predictive maintenance, or test optimization in data center or hardware validation environments

Experience with hardware bring-up, debug, and troubleshooting in data center systems, including using stress tools and benchmarks to evaluate system behavior, and developing tools that expand test coverage for data center technologies

Minimum Qualifications

Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering

3+ years of relevant industry experience in software engineering or test automation

Hands-on experience with machine learning algorithms and frameworks (such as PyTorch, TensorFlow, or JAX) with demonstrated application to data center systems, hardware validation, or test automation

Proficiency with Python and experience building robust, scalable automation frameworks and tools for large-scale testing environments

Experience with hardware/software validation, integration testing, or system and rack validation methodologies, including functional and stress testing

Proven ability to work independently and collaboratively across cross-functional engineering and QA teams

## Description

As a Software Engineer on our Stability Quality team, you'll design and develop intelligent automation frameworks and tools that enhance data center system validation at scale. You'll combine machine learning capabilities with hardware-centric software testing to create next-generation solutions to find and address issues as early as possible. You'll collaborate with cross-functional engineering and QA teams to identify risks, gather insights from large volumes of test data, and build automated tests to drive system stability.

","responsibilities":"Design and implement ML-powered automated stress and stability tests, and validation frameworks for data center systems, CPUs, and rack-scale deployments, with a focus on hardware-centric software risks to ensure systems and racks meet requirements and specifications

Analyze large volumes of validation and test data from data center deployments to build predictive models that detect issues early

Write problem reports enhanced with ML analysis that explains issues, predicts root causes, and provides data-driven recommendations for fixes

Partner with cross-functional teams to collect & define requirements, ensuring testing is focused on risk areas


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