Engineer Jobs

About The Position

Requirements

• Bachelor's degree or higher in Engineering or a related field
• 5+ years of experience with hardware/software architecture and interoperability of complex systems
• Scripting proficiency in Python; comfortable building and maintaining automation frameworks
• Experience in one of the following: hardware system design and integration, SoC design/integration, debug/testing, or validation

Nice To Haves

• Experience with SoC bring up, familiar with computer architectures (cache, memory hierarchy, data pipelines) and logic design
• Experience in silicon validation software engineering or related field
• Experience with embedded system debug
• Experience with lab equipment such as oscilloscopes and thermal chambers
• Strong proficiency in Python and Lua; proficient in Shell scripting.
• Familiarity with industry standards (USB, PCIe, DDR, etc.)
• General software development experience (Python, C++, log review, code review)
• Strong communication and collaboration skills

Responsibilities

• Work closely with functional test writers to understand high level architectures of each IP blocks within Apple SoCs and define applicable validation plans.
• Execute system tests, through scripts/automation framework, on large volume of prototype SoCs across Process, Voltage and Temperature (PVT) corners.
• Look for any potential issues, as well as characterizing the functional voltage (lvcc) of SoCs under such workloads.
• Triage issues and isolate/bucketize failures when they occur.
• Work with domain experts to define DoEs, come up with root cause theories, and test possible workarounds.
• Characterize functional voltages (lvcc) of SoCs under system workloads, analyze data across voltage domains, provide feedbacks to PE (product engineers) to define product operation voltages as well as recommend contents to testing/screening environment.
• Develop and execute system tests, leveraging scripts and automation frameworks, on a large volume of engineering prototypes throughout the product life cycles.
• Creation of new test methodologies to expand test coverage to new modalities including optical / computer-vision based testing.
• Optimize test and calibration flows for hardware sub-systems.
• Apply AI/ML techniques for test data mining, anomaly detection, and factory data analytics.