Senior Software Engineer, Swift macOS

At Apple new ideas have a way of becoming excellent products services and customer experiences very quickly. Bring passion and dedication to your job and theres no telling what you could an Apple company is a place where extraordinary people gather to do their best work. Just be ready to dream big. The workplace today is flooded by applications but organizations struggle to integrate and automate processes that run across them. At Claris we are building a better way for the worlds 500 million knowledge workers to do their jobs better. We accomplish this by empowering them to automate their processes and integrate data across all their applications in a matter of days thanks to an easy-to-use visual youre passionate about building intelligent software that runs where customer data lives thrive on hard systems problems and want to shape how organizations make sense of their data this is your team. Youll build the native macOS platform that puts AI-powered insights directly into the hands of knowledge workers.n

We are looking for a senior Swift engineer to join a small focused team building an on-device AI pipeline for macOS. This is a systems-level role where youll work across native AI runtime and orchestration platform integrations and enterprise connectors deterministic data execution or adaptive macOS UI depending on your strengths and interests. The architecture is a multi-stage pipeline with layered Swift Package Manager targets strict dependency boundaries and no work on problems that matter. The software you build protects customer data keeps critical systems running and delivers tools that organizations from schools to hospitals trust every day. Were looking for someone who ships real macOS desktop software takes ownership of their technical surface and cares about the people who use what we build. This is not a chatbot its a structured multi-stage pipeline that turns natural language into verified traceable results.n

Own one or more technical surfaces within the native AI pipeline: runtime/orchestration platform/integrations deterministic execution or adaptive and implement production Swift code within a layered SPM architecture (20 targets) with strict dependency boundaries Layer 0 (Foundation) through Layer 2 (Orchestration) to and maintain on-device AI orchestration using Foundation Models and MLX including structured intent extraction sufficiency gate routing tool calling context shaping and synthesis and harden platform integrations MCP client connections enterprise connector data access entitlements sandboxing identity and persistence deterministic execution pathways joins aggregations rankings filters with full data provenance and traceability. Layer ephemeral graph staging where relationship-heavy queries require it.n Develop the macOS adaptive UI using SwiftUI with AppKit interop desktop windowing keyboard-first workflows streaming content updates canvas state systems and and maintain automated tests using XCTest and Swift Testing frameworks. Participate in evidence surface development (golden question validation accuracy benchmarks).nEnsure all shared mutable state uses actors or Sendable value types with correct isolation annotations. Maintain Swift 6 strict concurrency closely with a small senior team (4-5 engineers) where each person owns their surface. Participate in sprint planning architecture reviews and release within a structured AI-assisted development workflow using Xcode and modern coding intelligence tools for repo-scale operations and project conventions.

B.S. in Computer Science or equivalent software engineering experiencen7-10 years of software engineering experience with SwiftnExperience shipping macOS desktop software (not iOS-only)nStrong understanding of Swift concurrency (actors async/await Sendable structured concurrency)nExperience working within layered modular architectures with strict dependency management

Experience with Apple Foundation Models guided generation structured output tool calling and streaming on-device inference. Familiarity with MLX or similar on-device ML building or integrating with MCP (Model Context Protocol) or similar tool-use/connector frameworks. Familiarity with enterprise data access patterns (OData REST SSE).nExperience with deterministic data systems joins aggregations rankings filters provenance tracking using Swift (TabularData or equivalent). Familiarity with graph/vector retrieval or entity resolution is a building production SwiftUI applications with AppKit interop adaptive layouts keyboard-first workflows streaming UI updates and accessibility compliance on with SPM multi-target architectures (20 targets) strict layered dependency enforcement and protocol-based dependency with macOS system services including process lifecycle management (launchd SMJobBless) code signing notarization entitlements and with actor-based concurrency patterns including data race prevention with Thread Sanitizer (TSan) and strict concurrency checking under Swift understanding of CI/CD pipelines test automation (XCTest Swift Testing) and agile development practices. Skilled with git branching processes and release working collaboratively on small senior teams where clear communication and shared accountability are essential; where everyone owns their surface end-to-end.