Jobs at HP IQ

The Senior Software Engineer will design and maintain backend services and RESTful APIs, ensuring scalability and performance, while collaborating with team members across functions.

Supports wireless subsystem validation through automated testing, test-data analysis, software and protocol verification, log parsing, RF characterization, and lab instrumentation. The intern may develop data portals and statistical models, troubleshoot networking and timing issues, and automate hardware measurements. The role requires current enrollment in a relevant technical degree program and foundational knowledge of wireless, networking, statistics, or data science.

Design and integrate manufacturable hardware products from architecture and prototyping through production ramp. Responsibilities include CAD modeling, subsystem integration, tolerance analysis, manufacturing feasibility, prototype builds, PCB integration, assembly-process design, design validation, and technical documentation. The intern will collaborate with industrial design, electrical engineering, manufacturing partners, contract manufacturers, and vendors in a fast-paced, hands-on environment.

Lead offensive security assessments, penetration testing, threat modeling, and attack-surface analysis across internet-facing services, APIs, embedded systems, firmware, and device interfaces. Identify vulnerabilities, guide remediation, validate fixes, and shape secure product-development practices. The role also drives risk-reduction initiatives, security architecture reviews, offensive security methodology, and strategic communication with engineering and executive stakeholders.

Lead quality strategy across software and hardware teams by designing test strategies, developing automation frameworks, defining quality metrics, analyzing defects and CI diagnostics, building CI tooling, and establishing testing standards. Collaborate with engineering, product, UX, and design teams, mentor QA engineers, and shape long-term testing roadmaps for cloud, edge, device, and AI-powered applications.

Drive QA and Developer Experience programs at HP IQ, enhancing engineering velocity and ensuring quality across AI product portfolio while collaborating with multiple teams.

Lead privacy engineering practices across software, cloud, AI, and connected-device platforms. Implement privacy by design, conduct PIAs and DPIAs, translate regulations into technical controls, assess architectures, support audits, and manage privacy risks. Collaborate with Legal, Compliance, Security, Product, and Design teams while defining controls for logging, monitoring, identity, access, and data protection. The role requires expertise in global privacy regulations, cloud environments, security technologies, and executive-level risk communication.

Develop and implement security features for embedded devices, PCs, and server-class workstations. Responsibilities include secure boot, cryptography, key management, device identity, secure communications, data protection, and hardware-backed security. Collaborate with firmware, operating system, hardware, cloud, and design teams; contribute to threat modeling, vulnerability analysis, testing, remediation, and secure SDLC practices. Investigate security issues and improve product reliability across Linux, AOSP, Windows, and embedded environments.

Develop automation frameworks, automated tests, developer productivity tools, and scalable build, release, and test systems. Improve CI/CD pipelines, integrate code quality and infrastructure-as-code tools, and use AI tools such as the OpenAI API for deterministic and non-deterministic testing. Diagnose complex testing issues using system logs and backend processes, while collaborating with software, automation, quality, and test teams to establish engineering best practices.

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.

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.

Own and enhance HP IQ internal IT systems: administer Google Workspace, Microsoft 365, Okta, and SaaS; manage Windows and macOS endpoints; support networking and cloud infrastructure (Kubernetes, Terraform); drive automation (Python/PowerShell/Bash), onboarding/offboarding, and identity workflows; serve as Tier 2/3 escalation, mentor support staff, improve processes, and partner with Security and Engineering to ensure compliant, scalable IT operations.

Design and develop reusable wireless software libraries and embedded system infrastructure supporting Bluetooth, UWB, NFC, and related technologies. Integrate wireless chipsets through I²C, SPI, UART, USB, and GPIO; collaborate across hardware, firmware, operating systems, and product teams; debug hardware-software interactions; optimize memory, CPU, power, and latency; validate new platforms; investigate field issues; influence architecture; and mentor engineers.

Design and prototype AI-powered digital experiences, interfaces, and features. Create user flows, wireframes, prototypes, and polished visual designs using tools such as Figma and Origami Studio. Present concepts, participate in design reviews, collaborate with software, hardware, and product partners, and contribute to design systems, interaction patterns, reusable components, iconography, and visual standards. Explore emerging AI technologies and experimental interaction models.

Develop and maintain firmware and embedded system architecture for ARM-based MCUs, focusing on low-power, radio stacks (BT/BLE/Wi‑Fi), sensors, and audio pipelines. Perform hardware bring-up and lab debugging, collaborate with cross-functional teams (EE, RF, Security, Cloud, AI), manage performance metrics (memory, power, latency), and coordinate vendors and manufacturing for production builds.