We’re looking for a System Architect to define and guide the end-to-end architecture for a cross-platform design product—spanning desktop and mobile apps for manual and AI-assisted design creation, cloud-saved projects, and dependable connectivity and execution on cutting machines over Bluetooth, USB, and Wi-Fi.
This role requires deep system thinking across client apps, backend services, device connectivity, and hardware/firmware integration—ensuring the entire system is secure, scalable, extensible, maintainable, observable, and delightful to use. Equally important, this architect will shape how AI is woven into both the product experience and the way our engineering organization builds software.
Key Responsibilities
- Champion AI-native engineering practices across the organization—agentic coding tools, AI-assisted code review, automated test generation, and AI-augmented design and ADR workflows—while maintaining code quality, security, and human oversight.
- Drive the end-to-end architecture from front-end apps through cloud services to machine execution, including data flow, control flow, latency, reliability, and failure recovery.
- Set clear APIs and integration contracts between app, cloud, and devices (including versioning/backward compatibility).
- Design cross-platform application architecture (e.g., iOS/Android, desktop) for complex workflows.
- Design reliable connectivity over Bluetooth, USB, and Wi‑Fi (pairing, discovery, reconnection, error handling).
- Ensure strong reliability, security, and performance (retries, encryption, permissions).
- Define observability standards across applications, services, and devices by establishing metrics, tracing, and logging practices, along with connectivity diagnostics and user-level debugging tools.
- Establish architectural governance by defining reference architectures, conducting design reviews, managing the ADR process, setting coding standards where needed, and aligning technical roadmaps with product goals.
- Partner cross-functionally with product, design, QA, manufacturing, firmware/EE, AI/ML, support, and security to ensure decisions are practical and shippable.
- Mentor engineering leaders and help teams make high-quality tradeoffs in performance, UX, reliability, and cost.