HP IQ
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, Device Experiences (Summer 2027)
Summer 2027 software engineering internship on HP IQ's Device Experiences team in San Francisco, building user-facing software across Windows devices and emerging hardware-software platforms. Interns prototype interactions and frameworks that connect sensors and hardware capabilities to AI-driven product experiences; strong Java or C++ skills required.
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 Engineering Intern, Security Intern (Summer 2027)
HP IQ, HP's AI innovation lab, is hiring a Summer 2027 software engineering intern for its Security team in San Francisco to help secure users' devices, data, and infrastructure. The role involves software engineering in C, C++, Java, or Python with a focus on privacy and security, paid $45–$51 per hour.
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.