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Apple GPU Compiler Backend/Research Engineer

Apple

Apple GPU Compiler Backend/Research Engineer

Apple

Cupertino, CA

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Generous paid time off and holidays

Comprehensive health, dental, and vision insurance

Professional development budget

Flexible work arrangements

Competitive salary and equity package

Healthcare

Learning

Flexible Hours

Equity

Required Skills

TypeScript

JavaScript

React

About the Role

In this role, you will have the opportunity to work on defining the roadmap for Apple GPU architecture and unleash the potential for new applications. You will work cross-functionally with several hardware and software teams to prototype compiler feature support, code generation and a slew of optimizations. You will be responsible to evaluate the efficacy of the proposed changes and provide feedback. Your work will have tremendous impact across all Apple devices.

We in the GPU compiler team have a strong track record of delivering optimal solutions for Apple Silicon GPUs. We have built synergies with hardware and software teams to explore and implement these solutions from conception, to prototyping to finally productizing and shipping. We strongly believe that being involved from concept allows us to unlock the true potential of new GPU architectures. We are seeking a highly skilled Compiler Backend Research Engineer to join our team. The role involves researching, designing, prototyping and implementing Apple GPU compiler optimizations to improve performance and functionality across all Apple devices. The GPU that you will work on will be shipped in every Apple device with a GPU. You will work on an LLVM-based compiler backend to generate optimized GPU binaries for future Apple Silicon GPUs that run graphics and compute workloads.

Responsibilities

  • Engage and collaborate with architects and micro-architects to explore and advance features and capabilities of the Apple Silicon GPUs
  • Prototype compiler support to iteratively evaluate and improve the efficacy of the hardware changes
  • Drive discussions and stay up-to-date with advancements in compiler technology, applying relevant insights to the development process

Minimum Qualifications

  • Experience with modern C++ programming
  • BS with 5 years experience, MS or PhD in computer science or related field
  • Knowledge of GPU architectures and how they differ from CPU architectures
  • Proven industry experience with strong background in compilers
  • Passionate about solving exciting problems related to the state-of-the-art Apple Silicon GPUs
  • Excellent written and verbal communication skills
  • Motivated to build constructive and effective relationships and solve problems collaboratively

Preferred Qualifications

  • Hands-on experience developing LLVM-based compiler backends
  • Experience with instruction selection, instruction schedulers and register allocators for CPU or GPU compiler backends

Equal Opportunity

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

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About Apple

Apple

Apple

Public

A technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.

10,001+

Employees

Cupertino

Headquarters

$3.5T

Valuation

Reviews

4.0

10 reviews

Work Life Balance

4.0

Compensation

4.2

Culture

3.8

Career

3.5

Management

3.2

75%

Recommend to a Friend

Pros

Great coworkers and people

Excellent benefits and perks

Fast-paced and engaging work environment

Cons

High expectations and pressure

Management quality varies

Limited career progression opportunities

Salary Ranges

17,968 data points

L2

L3

L4

L5

L6

L2 · Business Analyst L2

0 reports

$114,215

total / year

Base

$45,686

Stock

$57,108

Bonus

$11,422

$79,951

$148,480

Interview Experience

5 interviews

Difficulty

3.4

/ 5

Duration

28-42 weeks

Offer Rate

20%

Experience

Positive 20%

Neutral 40%

Negative 40%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Behavioral Interview

5

Onsite/Virtual Interviews

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit