Top iOS Developer Jobs in Charlotte, NC

Lead iOS application engineering projects, providing technical expertise and direction while mentoring staff and ensuring quality in deliverables.

The IOS Developer will architect and implement mobile solutions while collaborating with customers and the technical team, focusing on iOS development tools and frameworks.

The iOS Software Engineer will maintain the CI/CD pipeline and Bazel build system, improving mobile build scripts and collaborating with cross-functional teams to streamline development and increase efficiency.

As a Senior iOS Developer, you'll release features weekly, collaborate closely with product and design, and improve systems for users.

The Lead iOS Engineer will develop customer-facing iOS applications, ensuring high-quality user experiences, secure payments, and system reliability while mentoring team members in a collaborative environment.

Develop mobile applications for iOS, collaborate with developers to integrate APIs, and ensure user privacy in communication tools.

Develop new mobile applications for iOS while collaborating with teams to integrate existing technologies. Lead projects while mentoring junior engineers.

The Senior iOS Engineer will enhance the design system by building reusable iOS components, collaborating with cross-platform teams, and ensuring accessibility, performance, and documentation standards are met.

Lead feature development for live scorekeeping and insights in the GameChanger app, collaborating with designers and product managers to implement high-quality iOS features and ensure reliability.

The Staff iOS Engineer will create high-quality iOS experiences for business users, manage dependencies, improve app quality through testing and performance work, and mentor teams while shaping technical strategies.

Develop and maintain iOS applications using Swift and SwiftUI with AI features, optimize performance, and collaborate with backend and ML engineers.

The iOS Engineer will develop and improve the Chess.com iOS app, collaborating with teams, enhancing code quality, and implementing automated testing.

Lead engineering and product decisions for the Speechify iOS app. Actively ship production code, maintain app architecture, and contribute to product discussions for enhancing user experience.

As an iOS Engineer, you will develop and maintain features for the Oura app, collaborating with various teams to enhance user experience and code quality.

As an iOS Developer, you'll enhance our native iOS application, collaborating with a cross-functional team, focusing on delivery, debugging, and improving performance while writing maintainable code.

Responsible for improving iOS developer productivity at Airbnb by driving projects and enhancing frameworks and tooling for better performance.

The Senior iOS Engineer will lead product decisions, ship code for the iOS app, and enhance the app's architecture, ensuring a user-centric experience.

As a Senior iOS Engineer, you'll develop and improve Airbnb's trip-related features by collaborating with design and product teams, ensuring quality and scalability in mobile app development.

Design and develop scalable machine learning systems for fraud insights, collaborating with teams to deliver high-quality ML infrastructure effectively.

The Senior iOS Engineer will lead the development of the iOS SDK, collaborate with cross-functional teams, and enhance deployment processes while ensuring software quality through rigorous testing.

Responsible for deploying ML inference workloads, improving model performance, and collaborating with research teams to enhance user experiences on the AI Voices product.

As a Software Engineer at Speechify, you will work with machine learning teams to enhance AI Voice functionalities, manage deployments, and improve model efficiency.

Join Speechify to enhance AI voice technology. Collaborate with researchers and deploy ML services, improving performance and stability across platforms.

Develop and optimize AI voice products by collaborating with teams, deploying ML workloads, and improving system performance for a seamless user experience.

Collaborate with ML researchers and engineers to deploy AI Voices, enhance model performance, and address operational issues in production services.