HP IQ
Senior Technical Program Manager, QA & Developer Experience
HP IQ, HP's AI innovation lab, seeks a Senior Technical Program Manager to lead QA and developer experience programs: driving roadmaps and delivery, strengthening test strategies and CI/CD pipelines, and reporting program health to senior leadership. Requires 2–5 years of program management experience.
Software Engineer, Tooling and Development Infrastructure
Builds and maintains developer tooling, CI/CD pipelines, and automated testing frameworks to ensure AI software reliability and quality at HP IQ’s AI innovation lab.
Software Engineering Intern, AML Platform (Summer 2027)
Summer 2027 software engineering intern on HP IQ's AI/ML platform team in San Francisco, contributing to model inference optimization, agent orchestration (LangGraph/LangChain), or model fine-tuning for on-device AI experiences. Paid $45–$51 per hour.
Software Engineering Intern, Product & Developer Productivity (Summer 2027)
Summer 2027 intern at HP IQ (HP's AI innovation lab) building AI-powered developer-productivity tools — such as agentic JIRA triage, root-cause analysis, and test automation — using pre-trained LLMs and agentic systems on the Product Integrity & Developer Productivity team in San Francisco.
Software Engineer Intern, Cloud Services (Summer 2027)
Summer 2027 intern on HP IQ's Cloud Services team, building and operating integrated cloud services behind HP's AI-driven hardware (e.g., AI assistants, conference room devices), working with hardware, AI, and platform engineers. Pays $45–51/hour; requires a Master's or PhD student in CS.
Software Engineering Intern, Connectivity (Summer 2027)
Summer 2027 intern on HP IQ's Connectivity Software team in San Francisco, writing on-device firmware and system software in C, C++, or Python for Wi-Fi/Bluetooth connectivity, device discovery/pairing protocols, and ML inference on resource-constrained devices.
Senior Platform Engineer
Senior Platform Engineer at HP IQ (HP's AI innovation lab) building shared infrastructure, developer tooling, and platform capabilities across cloud and edge environments. Day-to-day spans Kubernetes/containers, Infrastructure-as-Code, CI/CD, observability, and Python-based automation, with production readiness and on-call duties.