Software Engineer - Data Center Systems Quality

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

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

4.14.1 out of 5 stars Sunnyvale, CA $147,400 - $272,100 a year, Pulled from the full job description

• Employee stock purchase plan
• Health insurance
• Retirement plan
• Dental insurance
• RSU, At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Do you want to pioneer the future of intelligent quality assurance for data center infrastructure that powers Apple's most ambitious services? Our Product Systems Quality organization plays a critical role in ensuring Apple delivers data center systems that are not only innovative, but exceptionally stable, reliable, and optimized for large-scale deployment. We work at the intersection of hardware and software, partnering closely with engineering teams to uncover risk early, influence design decisions, and help bring world-class data center platforms to life. Our Stability Quality team is focused on developing advanced test automation frameworks and intelligent validation tools for data center systems and rack-scale deployments. We combine machine learning capabilities with deep hardware knowledge to create scalable, automated testing solutions that support Apple's critical infrastructure. As a Software Engineer, you'll join us in building the next generation of automation tools that leverage artificial intelligence and machine learning to predict, and prevent critical hardware and software system failures.