Principal Software ML Engineer

About the role

HP is seeking a Principal Software ML Engineer to define and guide the architecture of modern software platforms within HP’s device and services ecosystem.

Responsibilities

• Partner directly with customers and internal product/design teams to gather feedback, validate early product concepts, and translate customer insights into architecture decisions for edge AI-enabled incubation products.
• Define and own the end-to-end software architecture for complex software platforms spanning client applications, backend services, cloud-connected workflows, local device interactions, and enterprise integrations.
• Establish architectural direction, technical principles, design patterns, and platform-level decisions that enable scalability, reliability, maintainability, performance, security, privacy, and extensibility.
• Provide technical leadership for AI-enabled software capabilities, including AI service integration, LLM workflows, model orchestration, inference API integration, evaluation pipelines, responsible AI considerations, and operational guardrails.
• Drive architectural alignment across local applications, cloud services, enterprise identity systems, connected devices, firmware-adjacent interfaces, device management platforms, and backend systems.
• Identify and resolve complex system-level challenges related to performance, responsiveness, startup time, latency, resource utilization, observability, reliability, and long-term maintainability.
• Define non-functional requirements for security, privacy, compliance, auditability, manageability, deployment readiness, diagnostics, supportability, and enterprise governance.
• Mentor senior engineers and technical leads, helping raise engineering standards in architecture, code quality, design documentation, test strategy, technical reviews, and software lifecycle management.
• Create and maintain architecture documentation, decision records, system diagrams, integration specifications, technical roadmaps, risk assessments, and platform evolution plans.
• Evaluate emerging technologies, frameworks, cloud services, AI development patterns, and enterprise software platforms to determine practical adoption opportunities.
• Influence cross-functional stakeholders and leadership by clearly communicating architectural trade-offs, risks, dependencies, technical debt, and recommended investment areas.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Computer Engineering, or Electrical Engineering.
• 10+ years of software engineering experience, including significant experience designing and delivering complex software platforms, distributed systems, enterprise applications, cloud-connected products, or device-integrated software solutions.
• 5+ years of experience in a technical leadership, architecture, principal engineer, staff engineer, or equivalent role.

Skills

• Deep experience designing modern software architectures across frontend applications, backend services, local applications, cloud services, APIs, data models, and enterprise integrations.
• Strong technical depth in one or more frontend technologies such as Angular, React, TypeScript, JavaScript, HTML, and CSS.
• Strong backend and systems development experience with languages such as Rust, Python, C#, Node.js, Go, or similar.
• Experience defining architecture for Windows desktop applications, companion applications, background services, system tray applications, OS-integrated applications, or software that interacts with local system services.
• Experience with API design, service-oriented architecture, distributed systems, event-driven workflows, asynchronous processing, application state management, and integration design.
• Experience with AI service integration, LLM APIs, prompt workflows, model orchestration, embeddings, inference APIs, evaluation pipelines, and responsible AI development practices.
• Experience integrating local software with cloud services, backend systems, enterprise identity providers, device management platforms, and enterprise software ecosystems.
• Strong understanding of software security, privacy, authentication, authorization, compliance, audit logging, data protection, and enterprise governance requirements.
• Experience with Git-based development workflows, CI/CD pipelines, automated testing strategies, release engineering, and production support practices.

Preferred Qualifications

• Experience with Tauri, WebView, WebRTC, COM interfaces, PowerShell automation, native application integration, or cross-platform desktop application frameworks.
• Experience with Microsoft Graph, Microsoft Intune, Azure services, enterprise APIs, identity platforms, SSO, device management, or manageability workflows.
• Experience with enterprise manageability solutions (MS Intune, ADMX/Group Policy, HP WXP or similar MDM/UEM platforms).
• Experience with connected-device software, peripheral integration, local device discovery, firmware-adjacent workflows, or hardware/software co-design.
• Experience building architecture for incubation products, proof-of-concept platforms, beta programs, early-stage software initiatives, or new product introductions.

Pay and Benefits

The pay range for this role is $165,450 to $259,750 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only).

Benefits HP offers a comprehensive benefits package for this position, including:

• 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 (US benefits overview)