Silicon Validation Software Engineer- GPU IP Validation and Integration

Apple

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

Austin, TX, USA

$150,000 - $250,000

Embedded

Principal Software Engineer

In-Person

5,000+ Employees

10+ years of experience

Description For Silicon Validation Software Engineer- GPU IP Validation and Integration

Join Apple's Silicon Technologies group as a Silicon Validation Software Engineer focusing on GPU IP Validation and Integration. This role combines expertise in graphics, hardware, and software validation to ensure Apple's next-generation processors deliver optimal performance. You'll be part of a diverse team of expert software engineers working on graphics validation software and system-level testing.

The position requires deep technical knowledge in GPU architecture, shader programming, and system-on-chip (SoC) validation. You'll be responsible for creating sophisticated test scenarios that validate GPU performance, memory interactions, and overall system integration. Your work will directly impact the quality and reliability of Apple's processors that power millions of devices worldwide.

As a senior member of the team, you'll leverage your experience with graphics technologies (OpenGL, CUDA), memory systems, and low-level programming to develop comprehensive validation solutions. The role involves working with cutting-edge technology, including machine learning workloads, and requires both technical depth and system-level thinking.

This is an excellent opportunity for someone who enjoys working close to the hardware, has a meticulous attention to detail, and wants to contribute to the development of Apple's next-generation processors. You'll be working in Austin, Texas, collaborating with talented engineers and directly influencing the performance and reliability of Apple's innovative products.

Last updated 15 days ago

Responsibilities For Silicon Validation Software Engineer- GPU IP Validation and Integration

Writing shaders that stress the GPU and cause high bandwidth traffic to/from memory subsystem
Applying GPU architecture knowledge to write tests for pipeline stress
Using driver and firmware APIs to compile shaders and prime operations
Understanding different levels of GPU memory hierarchy
Debugging SoC software and hardware issues
Performing system level validation
Implementing and running ML/LLM workloads for GPU characterization

Requirements For Silicon Validation Software Engineer- GPU IP Validation and Integration

Python

Linux

Bachelor's degree in relevant field
10 years of relevant industry experience in silicon validation software engineering
Experience with Graphics, OpenGL, and CUDA
Understanding of GPU pipeline and graphics theory
Understanding of system and SoC architectures
Strong C/C++ programming skills
Proficient in Python and GNU Make
Deep understanding of compute systems, operating systems, and computer architecture
Experience in SoC system level validation

Apple

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

Austin, TX, USA

$150,000 - $250,000

Embedded

Principal Software Engineer

In-Person

5,000+ Employees

10+ years of experience

Apple

Count Numbers with Unique Digits

Data Structures & AlgorithmsMedium

Given an integer n, return the count of all numbers with unique digits, x, where 0 <= x < 10^n. For example: Input: n = 2 Output: 91 Explanation: The answer should be the total numbers in the range of 0 <= x < 100, excluding 11,22,33,44,55,66,77,88,99 Input: n = 0 Output: 1

Dynamic Programming

Recursion

Apple

Design API endpoint to fetch 'coming soon' show content.

System DesignHard

Design an API endpoint to fetch 'coming soon' show content. Consider factors like data structure, filtering, and sorting.

Arrays

Strings

Database Problems

Greedy Algorithms

Apple

Tell me about the most difficult project you've worked on and how you delivered

Behavioral

Tell me about the most difficult project you've ever worked on and how you managed to deliver. To provide context, please consider these aspects: What were the specific challenges? For example, was it a tight deadline, limited resources, a novel technology, ambiguous requirements, or conflicting stakeholder expectations? Elaborate on the nature and magnitude of these challenges. What role did you play? Were you leading the project, a core contributor, or in a support role? Describe your responsibilities and level of autonomy. What specific actions did you take to overcome these challenges? Did you implement any specific strategies, tools, or methodologies? Did you have to make any difficult decisions or trade-offs? Provide concrete examples of your problem-solving approach, technical skills, and leadership abilities. How did you collaborate with your team and stakeholders? Describe how you communicated progress, resolved conflicts, and ensured alignment among team members and stakeholders. Did you have to manage any difficult personalities or navigate any political sensitivities? What were the results of your efforts? Did you successfully deliver the project? Did you meet or exceed expectations? What were the key lessons learned from this experience? Quantify your accomplishments whenever possible (e.g., reduced costs by X%, improved efficiency by Y%). For instance, perhaps you spearheaded the development of a new machine learning model with a very aggressive timeline while dealing with constantly shifting requirements from the business team and a lack of readily available training data. Or maybe you were tasked with migrating a legacy system to a modern cloud-based architecture with limited budget and a team with varying levels of expertise. Or consider a situation where you were responsible for launching a new product feature under immense pressure from senior management, requiring you to make tough calls on scope and prioritize ruthlessly. Share your story, highlighting the obstacles you faced and how you successfully navigated them.

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