VLSI CAD Engineer

Apple • Cupertino, CA

2d

About The Position

Apple Inc. is hiring a VLSI CAD Engineer in Cupertino, California, and various unanticipated locations throughout the USA. The role focuses on executing and improving RTL regression testing and verification infrastructure. The engineer will use industry-standard Verilog/SystemVerilog HDL simulators and UVM-based verification environments, analyze regression results and coverage data, and collaborate with the design verification team to diagnose failures.

The position also develops machine-learning solutions to predict test failures, improve test scheduling, allocate computing resources, and identify critical code paths for focused verification. It includes optimizing regression performance with task-parallelism libraries or cloud-based verification platforms, maintaining and enhancing regression systems, and building automation for regression setup, execution, and result analysis. The role is 40 hours per week.

Requirements

• Master’s degree or foreign equivalent in Electrical Engineering or a related field.
• Two years of experience in the job offered or a related occupation.
• Experience or education executing RTL regression tests using Verilog/SystemVerilog HDL simulators and UVM-based verification environments.
• Experience or education utilizing RTL debuggers to step through HDL code and identify root causes of regression failures.
• Experience or education developing automation scripts for regression setup, execution, and result analysis.
• Experience or education building machine-learning models to predict test failures and optimize resource allocation in verification workflows.
• Experience or education implementing performance optimizations using task-parallelism libraries or cloud-based verification platforms.
• Experience or education applying machine-learning techniques to optimize test scheduling and identify critical code paths for focused verification.
• Experience or education maintaining and enhancing RTL regression infrastructure for reliable and efficient verification systems.
• Experience or education building and maintaining self-retraining machine-learning pipelines for automated test-case generation, including scheduled daily triggers and monitoring of data quality metrics and runtime performance fluctuations.

Responsibilities

• Execute RTL regression tests using Verilog/SystemVerilog HDL simulators and UVM-based verification environments.
• Monitor regression results, analyze coverage data, and identify failed tests.
• Use coverage tools to measure and improve functional coverage.
• Collaborate with the design verification team to determine the root causes of regression failures.
• Use RTL debuggers to step through HDL code and identify issues.
• Develop solutions to address regression issues, improve verification efficiency, and optimize computer usage using machine-learning techniques.
• Build machine-learning models to predict test failures and optimize resource allocation.
• Optimize regression-run performance using task-parallelism libraries or cloud-based verification platforms.
• Maintain and enhance RTL regression infrastructure to ensure reliability and efficiency.
• Create automation scripts for regression setup, execution, and result analysis.
• Propose and implement solutions in collaboration with the design verification team.
• Apply machine-learning techniques to optimize computer usage and test scheduling, and identify critical code paths for focused verification.
• Build and maintain self-retraining machine-learning pipelines for automated test-case generation, with scheduled daily triggers and continuous monitoring of data quality and runtime performance.

Benefits

• Comprehensive medical and dental coverage.
• Retirement benefits.
• Discounted products and free services.
• Reimbursement for certain education expenses, including tuition, for formal education related to career advancement at Apple.
• Potential eligibility for discretionary bonuses or commission payments.
• Potential relocation assistance.
• Opportunity to participate in discretionary restricted stock unit awards.
• Opportunity to purchase Apple stock at a discount through the Employee Stock Purchase Plan.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level