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Helix AI Engineer, iOS
Figureai
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About this role
Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 03, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It's time to build.
We're looking for an iOS lead to own Figure's consumer iPhone app end to end. The app pairs with proprietary hardware and will ingest high volumes of data.
You'll be the founding iOS engineer. You set the technical direction for the platform, ship the app, and grow the team behind it.
WHAT YOU'LL DO
• Own the iOS app end to end, from architecture to App Store release.
• Build and ship a consumer-grade client with best-in-class polish and performance.
• Own core app surfaces: onboarding, capture, tasks, earnings, and notifications.
• Set iOS architecture, coding standards, and review practices for the engineers who follow.
• Instrument the app for analytics, experimentation, and crash-free releases.
• Work closely with the Android lead, hardware integration, and backend engineers to ship complete features.
• Drive fast, high-quality release cycles through TestFlight and the App Store.
WHAT WE'RE LOOKING FOR
• 6+ years building and shipping consumer iOS apps at scale.
• Expert in Swift and SwiftUI.
• Deep experience with AVFoundation camera, media pipelines, and offline-first sync.
• Experience as the lead or senior-most engineer on a mobile platform.
• Strong product sense and an obsession with UI quality and performance.
• Comfortable owning a platform end to end on a small, fast-moving team.
NICE TO HAVE
• Experience at top consumer app companies (Snapchat, Instagram, Uber, or similar).
• Bluetooth (BLE) or connected-device integration experience.
• Cross-platform experience (React Native, Flutter, or KMP).
• Experience with Apple's MFi (Made for iPhone/iPad) Program and integrating iOS apps with external hardware accessories.
The US base salary range for this full-time position is between $200,000 - $400,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.
Salary insight
The midpoint of this range ($300k) is about 48% above the median disclosed salary for San Francisco roles listed on ForgeApply ($203k across 6,333 jobs).
See full Machine Learning Engineer salary data for San Francisco →
Based on live postings with disclosed pay on ForgeApply; refreshed daily. Not an estimate of this employer's offer.
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