Hardware Engineer

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem.

This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.

THE ROLE

Drive the hardware engineering lifecycle for Everpure’s Hyperscale Line of Business, shaping high-performance, energy-efficient storage architectures tailored directly to hyperscale partners. You will serve as the technical lead bridging customer requirements and internal engineering execution, ensuring custom hardware solutions meet exacting performance and total cost of ownership (TCO) benchmarks. Working closely with cross-functional teams in validation, diagnostics, manufacturing test, and operations, you will lead hardware qualification projects, solve critical escalations, and advance system robustness. This role gives you direct ownership over the hardware that powers next-generation, large-scale data infrastructure.

WHAT YOU'LL DO

• Lead Hardware Qualification & System Hardening: Plan, execute, and automate comprehensive x86 hardware validation cycles—including electrical, signal integrity, and protocol testing—to guarantee system reliability for enterprise hyperscale deployments.

• Drive Cross-Functional Production Readiness: Partner with operations, manufacturing test, and software diagnostic teams to transition custom storage subsystems into full-scale production, establishing clear test coverage and automated validation workflows.

• Resolve High-Impact Technical Escalations: Perform root-cause analysis on complex hardware failures and field escalations, using advanced tools like high-speed oscilloscopes and bus analyzers to trace and rectify system-level anomalies.

• Optimize Subsystem Efficiency & Architecture: Evaluate and select critical hardware components—such as CPU subsystems, DDR4/5 memory, PCIe devices, BMCs, and power distribution modules—to optimize energy efficiency and system performance.

• Mentor and Elevate Engineering Standards: Provide technical guidance and mentorship to engineering peers, refining qualification processes and stress-testing methodologies (using tools like PTU, Mprime, and Iometer) to continuously improve team output.