SoC Correlation Product Engineer

Apple

A leading technology company that designs and manufactures consumer electronics, software, and services.

San Francisco, CA, USA

$136,300 - $248,700

Embedded

Mid-Level Software Engineer

In-Person

3+ years of experience

Hardware

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Description For SoC Correlation Product Engineer

Join Apple's Silicon Technologies group as a SoC Correlation Product Engineer and be part of the team that designs and manufactures next-generation, high-performance, power-efficient processors and system-on-chip (SoC) solutions. This role offers an exciting opportunity to work on groundbreaking technologies that power Apple's iconic devices including Mac, iPhone, iPad, Apple TV, Apple Watch, AirPods, and HomePod.

As a SoC Correlation Product Engineer, you'll be responsible for developing system-level test programs for debug, characterization, qualification, and production of SoC devices. You'll work directly with multiple cross-functional teams, including design, validation, test, manufacturing, system test, and software teams, to identify issues and implement corrective actions.

The role requires expertise in system-level characterization, statistical data analysis, and the ability to manage multiple programs simultaneously. You'll be instrumental in performing measurements that directly impact SoC power and performance for various next-generation products, while also working closely with ATE and software teams to develop test cases and benchmarks.

Apple offers a competitive compensation package, including base pay ranging from $136,300 to $248,700, plus opportunities for stock awards, bonuses, and comprehensive benefits. The company's commitment to innovation, sustainability, and leaving the world better than they found it makes this an ideal opportunity for someone passionate about making a significant impact in the technology industry.

Last updated 2 months ago

Responsibilities For SoC Correlation Product Engineer

Perform measurements that impact SoC power & performance for next generation products
Work on groundbreaking technologies & new designs with cross-functional teams
Collaborate with ATE and software teams to develop test cases and benchmarks
Characterize test setups and optimize production screening guardband
Define characterization plans and perform statistical data analysis
Manage multiple programs at different stages
Serve as central point of contact for multiple teams

Requirements For SoC Correlation Product Engineer

Python

Bachelor's degree + 3 Years of Experience
Experience with system level characterization
Understanding of PDN impact on Vmin, ATE test content
Experience working with and driving cross functional teams
Knowledge of statistical data analysis tools
Experience in scripting (Python, JMP, PERL etc.)

Benefits For SoC Correlation Product Engineer

Medical Insurance

Dental Insurance

Equity

Education Budget

Relocation Benefits

Comprehensive medical and dental coverage
Retirement benefits
Employee stock programs
Educational reimbursement
Discretionary bonuses
Relocation assistance
Employee discount on products
Free services

Apple

A leading technology company that designs and manufactures consumer electronics, software, and services.

San Francisco, CA, USA

$136,300 - $248,700

Embedded

Mid-Level Software Engineer

In-Person

3+ years of experience

Hardware

Apple

Explain dynamic programming using the knapsack problem, including subproblems, recurrence, base cases, and complexities.

Data Structures & AlgorithmsMedium

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What is FIFO depth and why is it important?

System DesignMedium

Let's explore the concept of FIFO (First-In, First-Out) depth in the context of data structures. What is FIFO depth, and why is it important to consider when designing and implementing a FIFO queue?** Explain how FIFO depth affects performance (latency and throughput), resource utilization (memory), and error conditions (overflow and underflow).** Can you provide a detailed example of a real-world scenario where FIFO depth is a critical parameter, like in a communication system or hardware design? For instance, if you are designing a system to process network packets, what factors would influence your choice of FIFO depth for the packet buffer? How does the arrival rate of packets, the processing time for each packet, and the acceptable packet loss rate play a role in determining the appropriate FIFO depth?** Also, discuss different strategies for managing FIFO depth dynamically based on system load and resource availability. How can adaptive FIFO depth control improve overall system performance and robustness?** What are some techniques to estimate the required FIFO depth analytically or through simulation?**

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Where do you see yourself in 5 years?

Behavioral

Where do you see yourself in 5 years?

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