About the job:
We are seeking a skilled iOS developer who is excited by the challenge of refining and advancing our core 3D scanning framework—getting the most out of LiDAR, Open3D, and related technologies to deliver higher quality, more accurate scans. If you love working with emerging spatial computing technologies, you’ll fit right in with our innovative team.
What You'll Work On:
- Collaborate closely with our 3D scanning team to refine algorithms for higher quality and more accurate LiDAR-based point cloud generation.
- Write native iOS and iPadOS apps using Swift, focusing on enhancing our scanning and sizing technology.
- Integrate spatial computing capabilities, including point cloud registration and stitching depth maps into a coherent 360-degree point cloud.
- Identify ways to improve scan accuracy and reduce failure rates through iteration on existing frameworks and API usage.
- Mentor less experienced developers, particularly on technical aspects of spatial computing and 3D scanning.
- Report directly to the Head of 3D and Mobile Solutions.
- Participate in Agile ceremonies such as standups and sprints to ensure efficient progress with minimal disruptions.
- Review code, providing constructive feedback to help improve our framework and encourage team growth.
- Work with backend APIs, primarily REST or GraphQL, to support the 3D scanning pipeline.
Your Areas of Expertise:
- 5+ years of professional software development experience, ideally with significant exposure to spatial computing or computer vision projects.
- Bachelor’s degree in Computer Science or equivalent experience and skills.
- Expertise in Swift, with additional knowledge of Objective-C being a plus.
- Experience building interfaces with SwiftUI and applying Human Interface Guidelines when necessary.
- Strong familiarity with iOS design patterns such as MVC and MVVM.
Similar Jobs
What We Do
FIT:MATCH.ai is an award-winning B2B2C technology platform that enables apparel brands to match their customers with the best-fitting products in hard-to-fit categories.
Our patented algorithms start by deriving a shopper’s 3D body shape using augmented reality and Lidar. Next we match them with the closest digital twin of real body scans within our extensive database to make personalized product recommendations.
The first-of-its-kind SaaS platform is designed to eliminate brands’ and consumers’ questions about fit in order to drive conversion and loyalty, while reducing returns.
The FIT:MATCH digital twin matching solution:
- Drives a better omni-channel shopping experience
- Increases customer conversion and average order value
- Lowers customer returns
- Reduces waste in the design process
- Broadens the addressable market
- Includes a diverse shopper base
- Provides comprehensive data and insights
