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ASIC Design Engineer - Pixel IP DMA

Apple

ASIC Design Engineer - Pixel IP DMA

Apple

Cupertino, CA

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Creative environment

Design tool subscriptions

Competitive salary and equity

Health benefits

Conference budget

Healthcare

Required Skills

Principle

Framer

InVision

About the Role

Do you love creating sophisticated solutions to highly complex challenges? As part of our Hardware Technologies group, you'll help design our next-generation, high-performance, power-efficient system-on-chips (So Cs). You will ensure Apple products and services can seamlessly and efficiently handle the tasks that make them beloved by millions! Joining this group means you'll be responsible for crafting and building the technology that fuels Apple's devices. Together, we will enable our customers to do all the things they love with their devices!

In this highly visible role, you will be at the center of the Pixel IP design effort in pixel processing. You will collaborate with all teams, making a critical impact getting functional products to millions of customers quickly.

Description

As a Pixel IP DMA Design Engineer in the Pixel IP team, you will work closely with architecture, design, and verification teams to build high performance and low power DMA engines that coordinate moving large amounts of data between the memory system and the Pixel IP Engine.

In this front-end design role, your tasks will include:

  • Exploring solutions to enhance performance while minimizing power and area
  • Detailing specifications and building RTL designs
  • Working with design verification and formal verification teams to verify functionality and performance

Preferred Qualifications

  • Experience in multimedia IP/So

C front-end ASIC RTL design:

  • Tight-knit collaboration skills with excellent written and verbal communication skills
  • Experience working multi-functionally with architecture, design, and verification teams to specify, design, and debug designs
  • Previous experience designing dedication DMA engines (especially related to machine learning applications), data storage, memory controllers, networking, image processing, and/or interconnects
  • Good understanding of arbitration, address translation, caching, on-chip interconnects, and performance analysis
  • Familiarity with common on-chip bus protocols such as AMBA (AXI, AHB, APB)
  • Experience in front-end implementation tasks such as synthesis, area and power analysis, linting, and logic equivalence checks

Minimum Qualifications

  • Bachelors Degree + 0 years of experience

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