Lead Agentic Software Engineer, Connected Devices

Dedicate most of your time to writing, 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 — while maintaining code 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 and maintain secure, 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 and maintain automated 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, validating new behavior with production telemetry before ramping.  Own release health through telemetry — tracking crash-free rate, 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 where they'd meaningfully improve your team's work.  Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.  8+ years of professional client/frontend software development experience, with deep, production-level expertise in one of: iOS, Android, or Electron/Angular.  Strong expertise in 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. Experience developing backend APIs using at least one modern technology stack, such as .NET/ASP.NET Core, Node.js with NestJS/Express, Java with Spring Boot, or Python with FastAPI/Django.  Working knowledge of embedded hardware integration: firmware constraints, command protocols, calibration, OTA updates, and error handling/telemetry.  At least 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…