Principal Software ML Engineer

Principal Software ML Engineer   Description - 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. This role will provide technical leadership across client applications, backend services, cloud integrations, device interfaces, enterprise workflows, AI-enabled capabilities, and production-scale software systems. In this role, you will help shape an incubation effort within HP’s PC ecosystem experience and human agent interactions — operating with the speed, ambiguity, and creativity of a start-up while leveraging the scale and reach of HP. You will work directly with customers to understand real-world needs, incorporate feedback into product and technical direction, and architect new edge AI-enabled experiences that have the potential to define the next generation of intelligent PCs and peripherals. The ideal candidate is a senior technical leader with deep experience designing scalable, secure, maintainable, and enterprise-ready software architectures. This role requires strong system-level thinking, hands-on technical credibility, and the ability to translate ambiguous business, product, and engineering requirements into practical architecture strategies and implementation roadmaps. You will partner closely with software engineering, UX, product management, hardware engineering, security, manageability, validation, DevOps, systems engineering, and executive stakeholders to deliver high-quality software platforms that support long-term product evolution, operational reliability, and differentiated customer experiences.

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.

Bachelor’s or Master’s degree in Computer Science, Software Engineering, Computer Engineering, or