Analog Mixed-Signal Validation System Lead
Job
Apple
Cupertino, CA (In Person)
Full-Time
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Job Description
We are searching for an innovative and experienced Analog Mixed-Signal (AMS) Validation Systems lead to head the development and execution of validation infrastructure for AMS IPs. This important position involves leading our HW and SW infrastructure teams to design and implement modular hardware (HW) and software (SW) modules and develop standardized validation framework and interfaces. This manager will work closely with validation teams to improve efficiency, enhance automation, standardize test flows, and improve data pipeline and analytics across AMS labs. This is an opportunity to work in a dynamic environment with endless learning opportunities at Apple. As a member of our team, you will have the rare and rewarding opportunity to work on upcoming products that will delight and inspire millions of Apple's customers every day.
This role involves working closely with different cross functional teams within Apple as well as vendors. Occasional travels maybe needed.
Description
Deep understanding of both HW and SW needs for the validation of various AMS IPs from on chip to in the systemHands-on experience with lab equipment (e.g. oscilloscope, signal analyzers, BERT)Strong programming and scripting skills (e.g., Python, C/C++, MATLAB, LabVIEW, JMP, etc.) for automation and data analysis.
Knowledge of data processing, visualization, and analysis tools (e.g. Jupyter, Pandas, Tableau), and expertise in initiating and implementing data analytics processesKnowledge of semiconductor technologies, IC design architectures and principals, as well as familiarity with industry EDA tools and simulation setups.
Understanding of machine learning techniques for validation data analytics is a plus.
Strong technical leadership, effective communication, and collaboration skills.
Excellent problem solving and analytical skills with a structured approach to issue resolution.
Meticulous organizational skills.
PhD is preferredMinimum QualificationsMaster's degree or equivalent in EE/CS is required plus 8+ years industry experience.\
This role involves working closely with different cross functional teams within Apple as well as vendors. Occasional travels maybe needed.
Description
- Oversee the design, deployment, and management of hardware and software test systems and interfaces for efficient test execution, supporting bench and system validations. Implement best practices to perform QA on the system
- Collaborate with internal and external teams to define, evaluate, and improve validation toolchains
- Architect and maintain validation data management and directory structures for data analysis and extraction
- Create and maintain visualization tools tailored to needs of IP validation team, and implement iterative features for effective data exploration and analysis
- Launch data analytics framework and identify key performance indicators by collaborating with various design and validation teams
- Identify opportunities for modularization and standardization to improve the validation pipeline. Collaborate with cross-functional teams to develop and implement software interfaces to seamlessly transition pre-silicon verification flows to post silicon
- Follow security measures to safeguard sensitive data and ensure compliance
- Foster collaborative and innovative work culture within the team as well as when working with cross-functional teams.
Deep understanding of both HW and SW needs for the validation of various AMS IPs from on chip to in the systemHands-on experience with lab equipment (e.g. oscilloscope, signal analyzers, BERT)Strong programming and scripting skills (e.g., Python, C/C++, MATLAB, LabVIEW, JMP, etc.) for automation and data analysis.
Knowledge of data processing, visualization, and analysis tools (e.g. Jupyter, Pandas, Tableau), and expertise in initiating and implementing data analytics processesKnowledge of semiconductor technologies, IC design architectures and principals, as well as familiarity with industry EDA tools and simulation setups.
Understanding of machine learning techniques for validation data analytics is a plus.
Strong technical leadership, effective communication, and collaboration skills.
Excellent problem solving and analytical skills with a structured approach to issue resolution.
Meticulous organizational skills.
PhD is preferredMinimum QualificationsMaster's degree or equivalent in EE/CS is required plus 8+ years industry experience.\
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