AI Engineer, PC Automation

Responsibilities

• Design and build on-device AI systems on Windows using C# and native Windows APIs.
• Develop system-level and agentic automation that can observe, reason, and take actions across the Windows OS and applications.
• Integrate AI capabilities directly into PC workflows, services, and long-running system processes, not cloud-only pipelines.
• Optimize solutions for latency, reliability, security, and hardware constraints (CPU/GPU/NPU, memory, power).
• Build automation frameworks to configure, control, evaluate, and manage large fleets of Windows PCs.
• Automate complex, multi-step PC workflows (installation, configuration, validation, recovery).
• Operate comfortably in environments that require hands-on interaction with real devices, not emulators alone.
• Partner closely with IT, firmware, OS, and platform teams on hardware-software integration issues.
• Create and run rigorous, real-world, automated performance validation on live hardware.
• Define evaluation metrics for accuracy, robustness, latency, and regression detection.
• Design experimentation pipelines that scale across physical labs of devices.
• Leverage and help evolve the team’s automation lab infrastructure for continuous validation.
• Lead complex, ambiguous projects with high autonomy, from incubation to production.
• Mentor engineers in on-device AI, Windows systems engineering, and automation best practices.
• Document architectures, experiments, and design decisions to raise the organization’s technical bar.

  Requirements

  • 7-10 years of experience in software engineering, systems engineering, or applied AI.
  • Bachelor’s degree in engineering, computer science, information technology or a related field.
  • Deep Windows expertise (OS internals, services, processes, APIs, tooling).
  • Experience with on-device AI systems (local inference, system integration, hardware-awareness).
  • Experience with agentic and tool-driven automation systems for orchestrating multi-step PC workflows.
  • System-level debugging and performance analysis experience.
  • Strong understanding of secure and reliable system design.

  Qualifications

  • Experience managing and automating fleets of physical Windows PCs.
  • Experience with system-level AI or automation running continuously on end-user devices.
  • Experience with evaluation labs, hardware farms, or large-scale automation environments.
  • Experience with voice, vision, or multimodal AI systems operating locally.
  • Experience shipping deeply integrated AI features used at scale.

  Skills

  • C# and .NET for production systems development.
  • Deep Windows expertise (OS internals, services, processes, APIs, tooling).
  • On-device AI systems (local inference, system integration, hardware-awareness).
  • Agentic and tool-driven automation systems for orchestrating multi-step PC workflows.
  • System-level debugging and performance analysis.
  • Automation, testing, and evaluation frameworks operating on real hardware.
  • Strong understanding of secure and reliable system design.

  Benefits

  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including:
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave