Software Engineer, Windows AI Automation
Sola· Engineering
Remote$160k - $300kFull-timePosted 6mo ago
About the role
Software Engineer role focused on leading desktop automation for Windows, VM fleets, and server-side AI execution to enable reliable, deterministic AI-powered automation across Win32, Citrix, and .NET environments.
Responsibilities
- Lead our desktop automation platform, setting technical direction across the desktop controller, the VM platform, and server-side AI execution
- Build and operate the desktop controller and the Windows VM fleet it runs on: session management, remote access, screen capture, and integration with the AI pipeline
- Move across the Windows / .NET stack and Linux server-side as the project demands, partnering with backend & AI-focused engineers as needed
- Drive reliability and observability across the desktop platform
Qualifications
- You've shipped production software and are comfortable with Windows / .NET development, not afraid to drop into Win32 or COM when needed
- You're a generalist at heart, excited to move across different parts of the stack, with strong instincts about how to build in reliability and observability end-to-end
- You're interested in being in-person 5 days a week in our NY office (we'll cover relocation), or you have a proven track record of working remotely (self-motivated, proactive, and a great communicator)
Skills
Required:Windows / .NET developmentGeneralist engineeringRemote work / in-person collaboration
Benefits
- $21M raised from top-tier VCs (a16z, Conviction, YCombinator) and growing incredibly fast
- Fortune 100 customers with horizontal applicability across domains
- Leading-edge agentic AI tech in partnership with AI labs
- Small team, early stage with outsized impact
- Work closely with founders and leadership
Last updated Jul 15, 2026. Interested? Apply on the company site.
About Sola
A new era of process automation
Sola is an agentic process automation platform that makes it easy for companies to automate data entry, scraping, and processing flows using LLMs and computer vision – delivering results much faster and with less effort than traditional RPA tools.
Robotic Process AutomationAI-poweredautomationenterprise
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