Neural Engine Hardware Engineer, Platform Architecture

Apple

Apple is a technology company that designs and develops consumer electronics, software, and services.

Boston, MA, USA

Machine Learning

Senior Software Engineer

In-Person

5+ years of experience

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Description For Neural Engine Hardware Engineer, Platform Architecture

Apple's Platform Architecture team is seeking a Neural Engine Hardware Engineer to help build future hardware platforms for intelligent mobile devices. This is a highly visible role where you'll collaborate with engineers across Apple to design how all technologies work in unison.

As a Neural Engine Hardware Engineer, you'll work with other architects on building the next-generation Neural Engine—a custom hardware engine powering iOS CoreML framework. Your responsibilities will include collaborating with software/applications teams to drive future requirements for machine learning and computer vision applications, prototyping them in C++/Python, writing architecture specifications, and working with software/hardware design teams for implementation.

The ideal candidate should have strong expertise in machine learning algorithms, particularly in convolutional neural networks, Transformers, and their applications in LLM and image/video processing. Knowledge of compilers, system architecture, and performance optimization is crucial. You'll be working at the intersection of hardware and software, optimizing ML workloads and improving system performance.

This role offers the opportunity to shape the future of Apple's neural processing capabilities, working with cutting-edge technology in a collaborative environment. You'll be part of a team that connects hardware and software into unified systems, directly impacting the performance and capabilities of Apple's mobile devices.

Join Apple's Platform Architecture team to contribute to groundbreaking innovations in machine learning hardware acceleration, working with talented engineers across different domains and helping define the future of intelligent mobile computing.

Last updated 3 months ago

Responsibilities For Neural Engine Hardware Engineer, Platform Architecture

Work with architects on next-generation Neural Engine development
Collaborate with SW/applications teams on machine learning requirements
Prototype solutions in C++/Python
Write architecture specifications
Work with SW/HW design teams for implementation

Requirements For Neural Engine Hardware Engineer, Platform Architecture

Python

BS degree
Experience writing machine learning algorithms
Knowledge of convolutional neural networks and Transformers
Experience with LLM and image/video processing applications

Apple

Apple is a technology company that designs and develops consumer electronics, software, and services.

Boston, MA, USA

Machine Learning

Senior Software Engineer

In-Person

5+ years of experience

Apple

Write a function using iteration to print numbers from 1 to a given number, then extend it to print only even numbers, and finally modify it to accept a step size.

Data Structures & AlgorithmsMedium

Write a function that uses iteration to print all numbers from 1 to a given number. For example, if the input is 5, the function should print: 1, 2, 3, 4, 5. Now, extend this function to print only the even numbers within that range. For instance, if the input is 10, the output should be: 2, 4, 6, 8, 10. Finally, modify the function to accept a second argument, which represents the step size. Using iteration, print numbers starting from 1 up to the given number, incrementing by the step size. As an example, given the number 15 and a step size of 3, the expected output is: 1, 4, 7, 10, 13. Be sure to handle edge cases and invalid inputs appropriately.

Arrays

Strings

Apple

Design a system to detect people around a door and predict their entry.

System DesignHard

Design a system to detect people near a door and predict if they will enter.

Graphs

Dynamic Programming

Greedy Algorithms

Bit Manipulation

Apple

Describe your approach to debugging malfunctions.

Behavioral

Let's discuss your approach to debugging malfunctions. Imagine you are on call for a critical e-commerce platform, and users start reporting that they are unable to complete their purchases. The error logs show a vague Transaction Failed message with no clear indication of the root cause. The customer service team is overwhelmed with complaints, and the business is losing revenue every minute the issue persists. Describe your initial steps in diagnosing the problem.** What tools or techniques would you use to gather more information? Would you focus on the front-end, back-end, or both? How would you prioritize your debugging efforts?** Would you start by examining the most recent code changes, monitoring server resources, or checking database connections? Explain your strategy for isolating the fault.** What methods would you employ to narrow down the potential causes of the malfunction, such as bisecting the code, using debugging tools, or performing hypothesis testing? Outline your approach to resolving the issue.** Once you have identified the root cause, what steps would you take to fix it quickly and effectively? How would you ensure that your fix does not introduce new problems? Discuss how you would prevent similar malfunctions from occurring in the future.** What proactive measures would you implement to improve the platform's reliability and resilience, such as adding better logging, implementing automated testing, or improving monitoring? Walk me through your thought process and provide specific examples of how you would tackle each step of the debugging process. I'm interested in hearing about your experience with similar situations and how you have successfully resolved them in the past.

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