Expert Systems Engineer, Applied AI & On-Device Technology (Windows / PC Automation))

The role blends applied AI engineering, Windows systems development, and large‑scale device automation, with strong ownership across experimentation, evaluation, and production deployment.

On‑Device AI & Windows Systems Engineering

• 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).

PC Automation & Device Management

• 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.

Experimentation, Evaluation & Reliability

• 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.

Technical Leadership & Incubation

• Lead complex, ambiguous projects with high autonomy, from incubation to production.

• Drive disciplined, practical incubation with a strong bias toward production impact across multiple surfaces.

• 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.

Required Technical 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

Highly Valued Experience

• Managing and automating fleets of physical Windows PCs
• System‑level AI or automation running continuously on end‑user devices
• Evaluation labs, hardware farms, or large‑scale automation environments
• Voice, vision, or multimodal AI systems operating locally
• Shipping deeply integrated AI features used at scale

How We Work

• Build models, agentic systems, and real hardware experiments for software product improvement
• Operate both bottom‑up incubation and top‑down AI innovation
• Choose missions that drive future success of HP’s PC business
• Move fast, but with rigorous, real‑world validation

Impact & Scope

• Owns critical on‑device AI and automation systems that directly shape PC experiences
• Influences arch