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Camera and Photos - Senior Cinematic Video Software Engineer

Apple

Camera and Photos - Senior Cinematic Video Software Engineer

Apple

Cupertino, CA

·

On-site

·

Full-time

·

4d ago

i Phone is the most popular camera in the world, with billions of photos and videos captured annually. The tight integration of hardware and software has made it possible to create unparalleled computational video features like Cinematic mode, the technology that's putting professional filmmaking in everyone's pocket, from aspiring filmmakers to everyday users capturing precious moments.
Join Cinematic Experiences, the team developing i Phone's groundbreaking Cinematic mode, and come shape the future of mobile cinematography! Transform how millions capture and create videos by advancing our real-time computational videography pipeline. Your work will build upon the machine learning and rendering pipelines that powers real-time automatic focus transitions and bokeh rendering, shipping on hundreds of millions of devices worldwide.

Description:

We are looking for a senior video processing software engineer to join our diverse and creative team that's uniquely positioned between Camera, Photos, and third-party APIs, allowing us to shape both video capture and playback experiences. Our team is composed of seasoned camera systems, rendering, and computer vision engineers. We work on high-visibility features that often make it into Apple keynotes and WWDC.

The ideal candidate has a proven track record of productizing cutting-edge video processing algorithms while having a strong optimization mindset and systems integration skills to bring those innovations to life on device.

In this role, you will push the boundaries of what's possible on mobile platforms under tight compute and memory constraints by tackling complex problems including: natural bokeh rendering, edge preservation, and temporal consistency, real-time depth map generation and refinement, intelligent subject tracking and focus prediction, ultra-low latency pipeline optimizations.","responsibilities":"Drive the exploration and adoption of state-of-the-art video processing research, transforming research prototypes into robust, power-efficient, real-time product implementations.

Integrate video processing pipelines into the broader iOS ecosystem, managing complex interactions across CPU, GPU, and Apple Neural Engine resources under strict thermal, latency, and memory budgets.

Partner with cross-functional Hardware, Design, and Quality teams to define and deliver next-generation video features.

Preferred Qualifications:

10+ years of industry experience.

Experience with 3D GPU rendering

Experience training or pipelining ML models on embedded systems.

Minimum Qualifications:

5+ years of relevant industry experience.

Strong CPU programming skills in ObjC, C, or C++.

Experience with GPGPU APIs such as Metal, CUDA, or Vulkan.

Solid foundation in Camera systems, Video Processing, Computer Vision, 3D Graphics, Machine Learning, or relevant domains.

Experience developing concurrent code on embedded platforms under heavy performance constraints.

Demonstrable interest in keeping up with state-of-the-art research.

Strong interpersonal and verbal communication skills.

BS degree in Computer Science, Electrical Engineering, or related major.

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 .

Pay & Benefits:

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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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