We're looking for a Staff AI-Native Software Engineer to architect the future of a cross-platform design product—spanning desktop and mobile apps for manual and AI-assisted design creation, cloud-saved projects, and rock-solid connectivity and execution on cutting machines over Bluetooth, USB, and Wi-Fi.This role demands deep systems thinking across client apps, backend services, device connectivity, and hardware/firmware integration, with a mandate to make the entire stack secure, scalable, extensible, maintainable, observable, and genuinely delightful to use. Just as important, you'll shape how AI gets woven into both the product experience itself and the way our engineering organization builds software.Key ResponsibilitiesChampion AI-native engineering practices (agentic coding, AI-assisted review, test generation, AI-augmented design/ADRs) while staying hands-on in critical code paths and maintaining quality, security, and human oversight.Drive end-to-end architecture across app, cloud, and device layers—data/control flow, latency, reliability, failure recovery, APIs/integration contracts (with versioning), cross-platform app design, and reliable Bluetooth/USB/Wi-Fi connectivity.Lead architecture governance up front for major initiatives: author/review ADRs, run architecture reviews, and keep major PRs traceable to their ADR.Own planning, estimation, and delivery accountability—scrutinizing estimates and separating engineering effort from calendar time.Ensure reliability, security, and performance through retries, secure auth, encryption, certificate validation, and permissions.Partner cross-functionally with product, design, QA, manufacturing, firmware/EE, AI/ML, support, and security, and mentor engineering leaders on performance/UX/reliability/cost tradeoffs.Own safe shipping and release health—feature flags, progressive rollout, kill-switches, A/B experiments, and telemetry-driven tracking of crash-free rate, performance budgets, and defect counts.
