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Visionos Jobs (NOW HIRING)

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other VisionOS technologies. In this position, you will be part of our extraordinary team of Computer Graphics ...

Apple

Senior iOS Engineer

Sunnyvale, CA · On-site

$164K/yr

We build software that spans multiple Apple platforms, iOS, macOS, watchOS, visionOS, and tvOS, delivering seamless experiences through real-time device coordination, robust data pipelines, and ...

Apple

Senior iOS Engineer

Sunnyvale, CA · On-site

$164K/yr

We build software that spans multiple Apple platforms, iOS, macOS, watchOS, visionOS, and tvOS, delivering seamless experiences through real-time device coordination, robust data pipelines, and ...

Apple Inc.

$150 - $225/hr

Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS.This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered ...

New

Apple

Machine Learning Engineer

Seattle, WA

$175K - $308K/yr

Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other VisionOS technologies. In this position, you will be part of our extraordinary team of Computer Graphics ...

Apple

Machine Learning Engineer

Sunnyvale, CA

$184K - $324K/yr

Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other VisionOS technologies. In this position, you will be part of our extraordinary team of Computer Graphics ...

Apple

Senior Software Engineer-Apple Music

San Francisco, CA · On-site

$144K - $190K/yr

Description As a software engineer on the MusicUI team, you will build and maintain the cross-platform framework that powers Apple Music's user interface across iOS, tvOS, macOS, and visionOS. You'll ...

Apple

Senior iOS Engineer

Sunnyvale, CA

$150K - $277K/yr

We build software that spans multiple Apple platforms, iOS, macOS, watchOS, visionOS, and tvOS, delivering seamless experiences through real-time device coordination, robust data pipelines, and ...

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Visionos information

What is VisionOS?

VisionOS is Apple's operating system designed specifically for spatial computing on devices like the Apple Vision Pro. It blends digital content with the physical world, allowing users to interact with apps and environments in three dimensions using their eyes, hands, and voice. VisionOS supports immersive experiences for productivity, entertainment, and communication, and it leverages familiar technologies from iOS and macOS to create a seamless experience. Developers can build unique spatial apps using tools like Xcode and RealityKit. VisionOS represents Apple's entry into the augmented and mixed reality space.

What are the key skills and qualifications needed to thrive as a VisionOS developer?

To thrive as a VisionOS Developer, you need a solid background in Swift, iOS development, and 3D programming, typically supported by a degree in computer science or related experience. Familiarity with VisionOS SDK, RealityKit, ARKit, and Apple's developer tools (like Xcode) is essential. Creativity, problem-solving, and effective collaboration are key soft skills that help bring immersive spatial experiences to life. These skills and tools are crucial for building high-quality, innovative apps for Apple's spatial computing platform.

What are common challenges faced when developing applications for VisionOS, and how can they be addressed?

Developing applications for VisionOS often involves adapting to new paradigms in spatial computing, such as 3D user interfaces and gesture-based interactions. One common challenge is designing intuitive user experiences that leverage the unique capabilities of mixed reality while ensuring accessibility and usability. Collaboration with designers and hardware teams is crucial to test and refine prototypes. Staying up to date with Apple's VisionOS SDK documentation and participating in developer communities can help address technical hurdles and accelerate skill growth.

What is the difference between Visionos vs Computer Vision Engineer?

AspectVisionosComputer Vision Engineer
Required CredentialsTypically requires a degree in computer science, electrical engineering, or related fields; certifications in AR/VR or related technologies are a plusRequires a degree in computer science, electrical engineering, or related fields; certifications in machine learning or image processing are common
Work EnvironmentFocuses on developing AR/VR operating systems and SDKs, often in tech companies or startupsWorks on developing algorithms and applications for image and video analysis, often in research labs or tech firms
Industry UsageUsed in augmented reality, virtual reality, and immersive technology industriesApplied across AI, robotics, security, and multimedia industries

Visionos professionals focus on creating and optimizing operating systems for AR/VR devices, while Computer Vision Engineers develop algorithms for image and video analysis. Both roles require strong technical skills and often overlap in AI and software development, but they serve different core functions within the tech industry.

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Visionos jobs near you
Infographic showing various Visionos job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 95% Physical, and 5% Remote job distribution.

Senior Full-Stack AI Application Engineer - iOS & VisionOS Emphasis

AST SpaceMobile

Lanham, MD • On-site

$140K/yr

Full-time

Re-posted 7 hours ago

Job description

AST SpaceMobile is building the first and only global cellular broadband network in space to operate directly with standard, unmodified mobile devices based on our extensive IP and patent portfolio and designed for both commercial and government applications. Our engineers and space scientists are on a mission to eliminate the connectivity gaps faced by today's five billion mobile subscribers and finally bring broadband to the billions who remain unconnected.
Position Overview
We are seeking a Senior Full-Stack AI Application Engineer with strong expertise in native iOS and VisionOS development to design and deliver advanced AI-powered mobile and spatial computing applications. This role focuses on building intuitive, high-performance user experiences that leverage computer vision, machine learning, and immersive 3D interfaces to support engineering, manufacturing, and operational workflows.
You will own the application layer end-to-end while collaborating closely with cross-functional teams to ensure seamless integration across mobile, spatial, and web platforms.
Key Responsibilities
  • Design, develop, and maintain native iOS (Swift/SwiftUI) and VisionOS applications for AI-enabled tools and operational workflows
  • Develop immersive experiences on spatial and extended reality platforms for visualization, guided workflows, and interactive 3D environments
  • Implement on-device machine learning inference for real-time analysis and visualization using mobile hardware capabilities
  • Develop camera-based workflows optimized for challenging physical environments and guided user interaction
  • Architect offline-first mobile solutions with local data storage and background synchronization
  • Integrate mobile and spatial applications with backend services and web platforms for unified user experiences
  • Build scalable interfaces for real-time notifications, alerts, and status updates
  • Contribute to full-stack web applications supporting analytics, monitoring, and reporting use cases
  • Optimize application performance, reliability, and usability for extended daily use
  • Collaborate with product, data, and infrastructure teams to align application design with backend systems and AI pipelines

Qualifications
Education
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Experience
  • A minimum of 5 years of full-stack software development experience
  • At least 3 years of native iOS application development with production-level deployment

Preferred Qualifications
  • Experience developing VisionOS or spatial computing applications
  • Background building mobile applications for industrial, operational, or field environments
  • Experience integrating computer vision or AI capabilities into mobile or AR applications
  • Familiarity with 3D rendering, spatial visualization, or immersive UI concepts
  • Experience supporting products through full lifecycle from concept to production
  • Exposure to enterprise mobile deployment or device management environments

Soft Skills
  • Strong interpersonal skills and ability to collaborate effectively with cross-functional teams
  • Excellent written and verbal communication skills
  • Proven ability to take ownership of complex projects from design through delivery
  • Strong problem-solving skills with a proactive, solution-oriented mindset
  • Meticulous attention to detail to ensure high-quality, reliable applications

Technology Stack
  • Swift, SwiftUI, VisionOS, RealityKit, ARKit
  • Core ML, on-device inference frameworks
  • React, Next.js, Python-based APIs (e.g., FastAPI or similar)
  • Relational and caching databases (e.g., PostgreSQL, Redis)
  • Cloud-based services and containerized environments
  • RESTful and real-time communication patterns (e.g., WebSockets)

Physical Requirements
  • Ability to work in a standard office or hybrid environment
  • Prolonged periods of working on a computer and mobile devices
  • Ability to participate in design reviews, testing, and collaborative sessions as needed

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands.
AST SpaceMobile is an Equal Opportunity, at will Employer; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

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