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

HP•Austin, TX

7h•Hybrid

About The Position

This role focuses on building fast, secure, agentic, and deeply integrated local AI systems on Windows PCs, spanning language, voice, vision, generative, and system‑level capabilities. The engineer will design, implement, and scale on‑device AI and automation systems that operate directly on real hardware, enabling differentiated PC experiences across multiple software surfaces and real edge devices. The role blends applied AI engineering, Windows systems development, and large‑scale device automation, with strong ownership across experimentation, evaluation, and production deployment. This role requires 4 days per week in the office to support hands‑on development, lab operations, and close cross‑team collaboration.

Requirements

7-10 year of experience in software engineering, systems engineering, or applied AI.
Bachelor’s degree in engineering, computer science, information technology or a related field.
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

Nice To Haves

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

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.
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.

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