Top Senior Hardware Engineer Jobs in Pensacola, FL

Validate server hardware components and new platform designs through power, thermal, performance, firmware, and automation testing. Maintain hardware test infrastructure, document technical findings, coordinate with ODM/OEM partners, and collaborate with software teams on BIOS, kernel, and firmware optimization. The role requires expertise in server architectures, validation methodologies, Linux, Python, Bash, Redfish, IPMI, and industry standards including PCIe, NVMe, and DDR.

Pipeline hiring for hardware engineers at all experience levels. Work includes circuit board design, schematic capture, component selection and prototype bring-up, hardware debug/testing and failure analysis, integration with firmware/software teams, and design for manufacturability with production handoff.

Lead standardization strategy for optical transport and Ethernet technologies, develop and advocate contributions to standards bodies (ITU‑T, IEEE, OIF, OpenROADM), coordinate with PLMs and R&D, report progress internally, provide technical influence and guidance, and represent Nokia at standards meetings and industry events.

Provides technical leadership and customer support for Marvell switching, PHY, and processor SoC products. Architects hardware solutions, investigates and reproduces hardware and software issues, performs schematic reviews, debugs boot sequencing and customer-reported problems, and supports Linux BSPs, U-Boot, device drivers, and board designs. Serves as a liaison among customers, Avnet field applications engineers, and Marvell engineering teams, while delivering training and occasional customer-site support.

Design, test, and validate next-generation server hardware and components for performance, power, and reliability. Diagnose and resolve hardware issues across engineering and manufacturing, document results, and develop/maintain test scripts. Collaborate with internal teams and OEM/ODM partners to scale platforms for global deployment.

The role involves optimizing hardware support within a software stack for AI model deployment, collaborating with teams and hardware vendors to enhance performance and portability across platforms.

Design, build, and operate reliable backend systems while mentoring engineers, participating in design discussions, and improving system performance.