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Apple
Graphics Software Engineer
5 days ago• Austin, TX
Viewed on February 1, 2026
Apply on company site
About Us
Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.
- Size: 10000+ employees
- Industry: Technology, Information Technology, Software, Consumer Goods & Services
View Company Profile:
Do you love problem solving and creating elegant solutions to complex technical challenges? As part of our Silicon Engineering team, you'll help develop and manufacture our next-generation, high-performance, power-efficient graphics processors! You'll ensure Apple products and services can seamlessly and efficiently handle the tasks that make them beloved by millions. Joining this team means you'll be responsible for crafting and building workloads that ensure Apple devices are best-in-class. Join us to help deliver the next groundbreaking product containing an Apple GPU!
In this impactful role, you will be responsible for tooling and workloads used by teams involved in all stages of the GPU development lifecycle, from early feature specification through silicon bring-up and beyond. You will work with other teams at engineering sites around the globe towards the shared goal of ensuring that Apple GPUs meet the highest quality and efficiency standards. This job involves designing, developing, and maintaining workloads for GPU architectural validation and design verification.
Description:
Join the team to play a central role in developing upcoming Apple GPUs. You will help to ensure the GPU is functional, performant, and within the expected power envelope. In this role, you will work with many other teams involved in GPU development, including but not limited to Architecture, Modeling, Performance, Power, Design Verification, Silicon Validation, and Manufacturing. You will develop mission-critical workloads for graphics core verification, and work alongside other GPU hardware teams from design bring-up through post-silicon, to identify and debug architectural, logic, and silicon issues. This includes working with the GPU software teams during production driver bring-up to rapidly identify and resolve software issues.
Preferred Qualifications:
Demonstrated knowledge of the software graphics pipeline and its application to computer graphics and / or ML, through relevant coursework or industry experience.
Experience with GPU programming via OpenGL, Vulkan, Metal, DirectX, CUDA, or other APIs.
Experience with continuous integration systems, automated build systems, and regression systems.
Strong communication skills.
Experience working in teams.
Minimum Qualifications:
BS degree is a requirement.
Experience with computer and / or GPU architecture, through relevant coursework or industry experience.
Experience with C++ programming.
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
PublicA 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
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