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Neural Magic Jobs (NOW HIRING)

UI Design Engineer

South San Francisco, CA · On-site

$125K - $167K/yr

... by neural structure, model architecture, radio bandwidth, and more. For instance, a slight ... feels magical, beyond the local minima of that which "works." You'll do whatever it might take to ...

Strong foundation in machine learning and modern neural network architectures. * Hands-on ... Our goal is to put in hands of our users a truly magical AI product. Interview process If there ...

... neural networks running on-device. Privacy First What happens in the home, stays in the home. Our ... magic to users * Closely collaborate with our Design, Software, Algorithms, and Hardware teams to ...

Patent Counsel

San Francisco, CA · On-site

$175K - $200K/yr

... Neural Network) architectures are defensible, timestamped, and protected. What You'll Do * Code ... magic" and the USPTO. * Portfolio Strategy: Manage our global IP portfolio, working with our ...

... by neural structure, model architecture, radio bandwidth, and more. For instance, a slight ... feels magical, beyond the local minima of that which "works." You'll do whatever it might take to ...

Systems Engineer (Rust)

Menlo Park, CA · On-site

$120K - $200K/yr

... neural networks running on-device. Privacy First What happens in the home, stays in the home. Our ... Enable very fast robot and device data transfer protocols that feel like magic to users, including ...

... magical experiences for our customers. The ideal candidate should be passionate about applying AI ... Solid understanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer ...

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Neural Magic information

What is the difference between Neural Magic vs Data Scientist?

AspectNeural MagicData Scientist
Required CredentialsBackground in machine learning, deep learning, and software engineeringDegree in statistics, computer science, or related field; often includes certifications in data analysis
Work EnvironmentTech companies, AI startups, research labs focusing on AI hardware and software optimizationBusiness, finance, healthcare, and tech sectors analyzing data to inform decisions
Employer & Industry UsageUsed by companies developing AI hardware/software solutionsEmployed across industries for data analysis, modeling, and insights

Neural Magic professionals focus on optimizing AI hardware and software, often requiring technical expertise in machine learning and software engineering. Data Scientists analyze data to generate insights, typically with backgrounds in statistics and data analysis. While both roles involve AI and data, Neural Magic is more hardware/software development-oriented, whereas Data Scientists focus on data analysis and modeling.

More about Neural Magic jobs
What cities are hiring for Neural Magic jobs? Cities with the most Neural Magic job openings:
What states have the most Neural Magic jobs? States with the most job openings for Neural Magic jobs include:
Infographic showing various Neural Magic job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Camera Imaging Software Engineer, Camera & Photos

Camera Imaging Software Engineer, Camera & Photos

Apple

Cupertino, CA • On-site

Full-time

Posted 11 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 666 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers


Job description

iPhone is the most popular camera in the world, with billions of photos taken every year. The seamless integration of software and hardware has led to camera features like the Photonic Engine, Portrait mode, and Super-high-resolution photos which deliver magical experiences that surprise and delight our customers.
The Camera Technologies & Systems team in the Camera & Photos org delivers amazing quality photos and videos by combining state of the art computer vision, image processing, machine learning, and artificial intelligence. As an engineer on our team you'll develop and extend those software pipelines, working side-by-side with the world-class engineers who made iPhone's camera what it is today, and build new great camera capabilities spanning the universe of Apple devices. Whenever you see a "Shot on iPhone" billboard, you see our work; it could be your work too.
Description
If you consider yourself an engaging and highly-collaborative engineer with excellent communication skills, and are comfortable in a dynamic environment, we have a rewarding opportunity for you. We're looking for a strong software engineer to help implement and optimize deep neural networks, and combine them with GPU-based image processing algorithms using Metal, to make photos look good. In this role, you will work closely with research and frameworks teams on integration of computer vision and computational photography algorithms in a performance- and memory-sensitive environment. You will then feed this experience back to the hardware architecture team to help drive future chip designs.
Minimum Qualifications
Strong programming skills, especially in Objective-C or C++
Experience with Unix/Linux, preferably macOS or iOS
Proficient with debugging techniques, preferably on embedded mobile platforms
Familiar with image processing concepts and algorithms
Skilled with performance and memory optimization
A CS degree or years of relevant experience
Preferred Qualifications
Familiarity with GPU programming in Metal, OpenGL(ES), OpenCL, or CUDA
Thrive in a collaborative team, building software together
Excellent verbal and written communication
Focus on details that are meaningful to our customers

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

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, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976