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Graphics Power Engineer, Platform Architecture

Apple

Graphics Power Engineer, Platform Architecture

Apple

Austin, TX

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Parental leave

Professional development budget

401(k) matching

Generous paid time off and holidays

Parental Leave

Learning

Required Skills

Python

JavaScript

PostgreSQL

About the Role

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, hard-working people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. Join us to help deliver the next groundbreaking Apple product.

We are seeking a highly motivated, innovative, and dedicated engineer to join the GPU Platform Architecture Team; we are a group that is driving advanced exploration for next generation GPU architectures in i Phone, i Pad and Mac products. We rely on strong analytical skills and close collaboration to deliver the best overall solution to our customers. In this highly visible role, you will be at the center of a chip design effort working with all disciplines, with a critical impact on getting high performance products to millions of customers quickly.

Responsibilities

As part of the GPU Platform Architecture team, you will be working with architecture, design and software partners on the definition & tuning of Apple's future GPU power architectures. The role involves C++ and Python code development and building and maintaining of GPU models targeted at understanding and enhancing the power architecture of Apple's GPUs. You will collaborate with experienced GPU architects, RTL designers & software teams to assess the feasibility of new hardware and software power features, running experiments and reporting them.

This is an opportunity to join Apple's world-class GPU team to collaborate, develop and improve GPU modeling and features for power architecture.

Preferred Qualifications

  • Experience in modeling
  • Knowledge of active power management strategies
  • Interpersonal, analytical skills and creativity to help the team solve design challenges
  • Degree in Computer Science, Electrical Engineering or Computer Engineering
  • 3+ years of relevant experience
  • Ability to travel internationally on occasion
  • Experience working as part of large cross-functional teams
  • Ability to work with complex designs from architecture to production

Minimum Qualifications

  • BS degree
  • Experience in GPU or CPU architecture and micro-architecture design
  • Software skills and proficiency in C/C++ and a scripting language such as Python or Ruby

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

M3

M4

M5

M6

L2 · Industrial Designer L2

0 reports

$320,450

total / year

Base

$128,180

Stock

$160,225

Bonus

$32,045

$224,315

$416,585

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