Principal ML Architect - Edge AI & Enterprise Platforms

HP

Spring (TX)

On-site

USD 165,000 - 260,000

Full time

14 days+

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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
Disability insurance
Employee assistance program
Flexible spending account
Life insurance
Parental leave

Job summary

HP is seeking a Principal Software ML Engineer to define and guide the architecture of modern software platforms across HP’s device and services ecosystem. You will lead AI-enabled capabilities, collaborate with customers, and shape edge AI experiences for next‑gen PCs and peripherals.

The role requires deep system-level thinking, hands-on credibility, and experience delivering scalable, secure architectures in enterprise contexts.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, Computer Engineering, or Electrical Engineering.
  • 10+ years of software engineering experience, with complex platforms and distributed systems.
  • 5+ years in technical leadership, architecture, or principal engineer roles.

Responsibilities

  • Define end-to-end software architecture for client apps, backend services, cloud workflows and device interfaces.
  • Provide technical leadership for AI-enabled capabilities, including LLM workflows and model orchestration.
  • Mentor senior engineers, raise engineering standards, and drive design reviews and roadmaps.
  • Collaborate with customers and cross-functional teams to shape architecture and product direction.

Skills

Architectural leadership
Frontend technologies
Backend & systems
AI/LLM integration
Security & privacy
CI/CD & DevOps

Education

Bachelor's or Master's in CS/SE/CE/EE

Tools

Azure
Git
Microsoft Graph

Job description

HP is seeking a Principal Software ML Engineer to define and guide the architecture of modern software platforms across HP’s device and services ecosystem. You will lead AI-enabled capabilities, collaborate with customers, and shape edge AI experiences for next‑gen PCs and peripherals.

The role requires deep system-level thinking, hands-on credibility, and experience delivering scalable, secure architectures in enterprise contexts.

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