Teams at HP IQ

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.