Lead Agentic Software Engineer, Connected Devices
- Full-time
- Department: Software Engineering
We are seeking an experiencedLeadAgentic Software Engineer, Connected Devices to build and ship features across our client applications, includingiOS/iPadOS, Android,andElectron/Angular.Thishands-on, code focusedrolecenters onwritingproduction codeandusing agentic coding tools toaccelerate delivery without compromising quality. The position focuses on connecting our client apps with Cricut hardware over Bluetooth, BLE, USB, and Wi-Fi, sodirecthardware-software integrationexperienceisessential. You willbring deep expertise in one major client platform and work closely with Product Management and UX to turn defined features into shipped experiences.
- Dedicate mostof your timetowriting, reviewing, and shipping production code on your primary platform.
- Use agentic coding tools as a core part of your daily workflow — AI-assisted code review, automated test generation, AI-augmented development — whilemaintainingcode quality, security, and human oversight.
- Design and build features end-to-end, from technical approach through implementation, testing, and release.
- Apply established architectural patterns to keep your code modular, maintainable, and testable.
- Collaborate closely with Product Management and UX to take defined features from spec to shipped experience, surfacing technical tradeoffs and feasibility early.
- Build andmaintainsecure, reliable communication between client applications and Cricut hardware over Bluetooth, BLE, USB, and Wi-Fi.
- Optimize application performance — startup time, memory usage, responsiveness, rendering, battery life, and network efficiency.
- Ensure application security through encryption, secure authentication, certificate validation, and secure credential/key management.
- Write andmaintainautomated tests for your features.
- Drive CI/CD automation, release quality, and deployment processes for your platform (App Store, Google Play, or desktop distribution).
- Ship behind feature flags with progressive rollout and kill-switches,validatingnew behavior with production telemetry before ramping.
- Own release health through telemetry — tracking crash-freerate, performance budgets, and defect trends.
- Participate in code reviews and share knowledge with other engineers on your platform.
- Evaluate emerging platform, AI, and tooling technologies, and recommend adoption wherethey'dmeaningfully improve your team's work.
- Bachelor's orMaster's degree in Computer Science, Software Engineering, ora relatedfield.
- 8+ years of professional client/frontend software development experience, with deep, production-levelexpertisein one of: iOS, Android, or Electron/Angular.
- Strongexpertisein device connectivity — Bluetooth Classic, BLE (including GATT design), USB, and Wi-Fi (provisioning,mDNS/SSDP discovery) — along with real-world experience handling pairing, interference, bandwidth limits, and reconnection.
- Working knowledge of embedded hardware integration: firmware constraints, command protocols, calibration, OTA updates, and error handling/telemetry.
- Atleast a year of hands-on, pragmatic use of modern AI engineering tools (Claude Code, Cursor, Copilot, etc.), with practical experience integrating AI/LLM capabilities where relevant (agentic patterns, evals, latency/cost/reliability tradeoffs).
- Expert-levelproficiencyin the language matching your primary platform (Swift, Kotlin, or TypeScript).
- Strongexpertisein the native UI framework for your platform (SwiftUI/UIKit, Jetpack Compose, or Electron/Angular).
- Experience with architectural patterns such as MVVM, Clean Architecture, MVI, or component-based architecture.
- Experience consuming REST APIs.
- Experience with automated testing (unit, integration, UI/end-to-end) and CI/CD pipelines.
- Working knowledge of secure credential storage (Keychain, Android Keystore, or equivalent).
- Experience instrumenting applications with telemetry/observability tools (e.g., Datadog, Firebase, or platform-native logging).
Soft Skills
- Communicates clearly with engineering, product, and design — written and verbal.
- Collaborates well with Product Management and UX, building alignment on scope and tradeoffs.
- Shares knowledge readily and helps other engineers on the team grow.
- Stays curious about new tools and techniques, especially in AI-assisted development, and brings practical improvements to the team.
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