Hp Senior Software Engineer at HP focused on rapidly prototyping AI agent concepts and exploring emerging technologies to create value across HP’s computing ecosystem. Build proofs of concept and transfer promising ideas to production teams.
Responsibilities
We are looking for a curious, resourceful software engineer to rapidly prototype AI agent concepts and explore how emerging technologies can create value across HP’s computing ecosystem. As part of the PS Engineering, Integrated Solutions & Ecosystem team, you will join a small incubation team working with open-source tools and early partner technologies. You will build working proofs of concept in approximately three- to four-week cycles, evaluate their value, and transfer promising ideas to production engineering teams.
This is a hands-on, exploratory role for someone who enjoys building independently, testing assumptions, and moving quickly to the next opportunity when a concept does not demonstrate sufficient value.
What You Might Do
Explore emerging AI agent frameworks, open-source projects, and partner technologies to identify opportunities for experimentation.
Build working prototypes that connect AI agents with PCs, edge devices, and distributed computing environments.
Develop experiments involving workload offloading, AI inference, device routing, or shared computing resources.
Use Python, Linux, APIs, and structured data to integrate components and test workflows.
Communicate findings, trade-offs, and recommendations to engineering, product, and business stakeholders.
Document promising concepts and transfer code, findings, and technical requirements to production engineering teams.
Apply appropriate security, policy, and isolation controls to experimental environments.
Essential Qualifications
Qualification
Demonstrated ability to build AI agentsStrong Python programming skillsMeaningful GitHub activityExperience with agentic frameworksExperience with distributed computingAdditional experience with WindowsSalary
Required
Demonstrated ability to build AI agents, working prototypes, or experimental software
Strong Python programming skills
Practical experience developing in Linux
Preferred
Meaningful GitHub activity, open-source contributions, or a portfolio of independently built projects.
Experience with agentic frameworks, device-routing agents, PC-based AI workloads, or memory-related projects.
Familiarity with tools and approaches such as llama.cpp, vLLM, LangChain, or RAG.
Experience with distributed computing, edge devices, workload orchestration, or network offloading.
Additional experience with Windows, C++, containerization, or application and network security.
