Top Tech Jobs & Startup Jobs

Build and operate shared platform infrastructure, automation, deployment workflows, and self-service tooling across cloud and edge environments. Improve developer velocity, reliability, security, observability, scalability, and production readiness. Responsibilities include Infrastructure-as-Code, CI/CD, monitoring, incident response, operational automation, platform architecture, and technical roadmaps. The role also troubleshoots complex systems and participates in an on-call rotation.

Provides executive administrative support to two vice presidents and operational support for global AI, software, hardware systems, integrity, and productivity teams. Responsibilities include calendar and travel management, expense reports, invoices, purchase orders, executive presentations, reporting, cross-functional coordination, scheduling, team events, and special projects. The role requires anticipating leadership needs, resolving logistical conflicts, improving operational processes, and bringing structure to a fast-paced startup-like environment.

Develop on-device firmware and system software for connected HP devices using C, C++, or Python. Build wireless connectivity, discovery, and pairing protocols; optimize machine learning inference on resource-constrained devices; develop sensing algorithms; debug system and application issues; and collaborate with hardware and software teams on design, testing, validation, code reviews, and documentation.

Lead day-to-day IT support operations including endpoint lifecycle, onboarding/offboarding, inventory and procurement, and SaaS administration. Serve as senior escalation for complex macOS/Windows and identity issues, improve processes and documentation, manage specialized assets, and partner with finance/legal/security to ensure accurate, secure IT workflows and strong employee experience.

Software Engineer Interns will help develop, test, and operate integrated cloud services supporting AI-powered hardware products. Responsibilities include collaborating with hardware, AI, platform engineering, and infrastructure teams; contributing to AI assistant and conference room device projects; solving software problems independently and collaboratively; and communicating across teams to deliver reliable solutions.

Interns will design, build, test, and deploy AI-powered agents and developer productivity tools using pre-trained machine learning models and LLMs. Responsibilities include automating software development, testing, debugging, and quality assurance workflows; prototyping agentic systems; collaborating cross-functionally; participating in design reviews and code reviews; analyzing technical challenges; and presenting technical work.

Software engineering intern supporting product security for devices, user data, and infrastructure. The role involves developing secure software, balancing user experience with privacy and security, and contributing to product design and development. Candidates should understand or be interested in cryptography, access control, authorization, network security, software security, and threat modeling.

Contribute to HP IQ’s AI and machine learning platform for agentic devices. Responsibilities may include optimizing model inference through profiling, benchmarking, quantization, and distillation; developing orchestration frameworks and agent workflows; fine-tuning language models; evaluating experiments; collaborating with cross-functional teams; contributing to open-source or internal libraries; and improving platform reliability.

Software Engineering Intern contributing to user-facing software experiences for Windows devices and emerging hardware platforms. Responsibilities include building framework components, prototyping interactions, collaborating with designers and engineers, solving technical problems, and connecting sensors and hardware capabilities to application frameworks. The role involves developing next-generation AI-enabled device experiences and may include mobile application development.

Develop and debug firmware across RTOS and embedded Linux, lead board bring-up and driver integration, implement subsystems (connectivity, power, sensors), integrate lightweight on-device ML and sensing algorithms, support OTA updates and fleet diagnostics, and collaborate with hardware, systems, and QA to resolve system-level issues through production.