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PVH seeks a Principal Software ML Engineer to define and guide architecture for modern software platforms across client apps, backend services, cloud integrations, and device interfaces. You will lead AI-enabled initiatives and collaborate with UX, product, hardware, security, and DevOps to deliver scalable, enterprise-grade systems.
The ideal candidate brings 10+ years in software leadership, deep architectural experience, and a proven ability to translate complex requirements into practical
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, hand-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.