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Founding Software Engineer

Accepting applications

Cortex Workspace · Redwood City, CA

Full-Time Mid_senior AIaiate
Posted
6h ago
Category
Test
Experience
Mid_senior
Country
United States
About Cortex Workspace
Cortex is building a visible AI workspace for the desktop — one where AI can operate across real user workflows, including browsers, files, spreadsheets, forms, and enterprise tools.

We build fast using AI-assisted engineering workflows. But speed only matters if what we ship is reliable, maintainable, and production-ready.

Role Description
We are seeking a Founding Software Engineer for a full-time, on-site role in Redwood City, CA. This is not a traditional QA role and not a people-management role. You’ll stay close to the code, product behavior, and release process.

What You’ll Work On
AI-assisted code review and gatekeeping: Review AI-assisted code from tools like Claude Code, Cursor, Copilot, or similar workflows. Identify hidden bugs, brittle logic, dependency issues, architecture risks, security concerns, and maintainability problems.
Vibe coding to production-quality software: Help the team turn fast prototypes into production-ready implementations. Define the standards for what is acceptable to ship, what needs refactoring, and what should be blocked before release.
Eval frameworks for AI workflows: Design eval cases for AI workflows across browsers, files, forms, spreadsheets, and desktop apps. Build golden test sets, regression tests, smoke tests, and release checklists.
Pre-release validation and release readiness: Validate new versions before release across macOS, Windows, and Linux. Identify release blockers, run critical path testing, and help the team make go / no-go decisions.
Failure mode analysis and product reliability: Capture recurring failure modes, edge cases, latency issues, memory problems, workflow breakdowns, and user trust risks. Translate them into engineering fixes, better eval coverage, and clearer release standards.


What We’re Looking for
Strong hands-on engineering experience with TypeScript and Node.js
Strong code review, debugging, and architectural judgment
Experience designing tests, evals, release checks, or quality gates
Ability to quickly understand unfamiliar codebases
Clear judgment on what is prototype-quality versus production-ready
Comfort working across product, engineering, and release workflows
Ability to communicate technical risk clearly and practically
Desire to stay hands-on rather than move into people management


Nice to have
Experience with Electron or desktop applications
Experience with AI-assisted development tools such as Claude Code, Cursor, Copilot, or similar
Experience building eval frameworks for LLM or AI agent products
Experience with regression testing, CI/CD quality gates, observability, or release validation
Experience testing long-running sessions, memory pressure, latency, or cross-platform behavior
Familiarity with AI agents, tool use, prompt workflows, or model-backed products
Familiarity with desktop release workflows across macOS, Windows, or Linux

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