Hardware Systems Engineer, NPI AI

Job Title

Hardware Systems Engineer, NPI AI

Role Summary

Support new product introduction (NPI) for next-generation AI and high-performance computing infrastructure used in large-scale data centers. Work across hardware design, firmware, software, networking, and capacity teams to validate and scale AI server systems from early bring-up through production readiness.

US salary range: $118,000–$170,000/year (plus bonus, equity, benefits).

Experience Level

Mid-level - typically requires 2+ years of relevant experience in hardware systems engineering, silicon or system bring-up, or firmware validation.

Responsibilities

Primary duties include system validation, bring-up, debugging, and cross-functional coordination during NPI.

• Drive system validation strategies for AI and HPC hardware platforms in data center environments.
• Perform hands-on bring-up, characterization, and validation of AI server systems and components (PCIe, NVLink, DRAM, high-speed networking fabrics).
• Develop and maintain test specifications, validation procedures, and debug guides for NPI programs.
• Investigate and root-cause complex failures spanning silicon, firmware, software, and hardware layers.
• Triage and track hardware and firmware defects to resolution while keeping NPI milestones on track.
• Identify gaps in test coverage and improve test methodologies, tooling, and automation frameworks.
• Partner with platform and capacity engineering to define acceptance criteria and deployment readiness standards.
• Collect, analyze, and report hardware quality trends; communicate validation status and technical findings to engineering teams and vendors.
• Collaborate with firmware and software teams on hardware-software interface requirements for telemetry, diagnostics, and remote management.

Requirements

Must-have technical experience and skills; preferred items noted as nice-to-have.

• 2+ years experience in hardware systems engineering, silicon validation, firmware validation, or system-level bring-up for AI servers, GPUs, TPUs, or AI accelerator platforms.
• Experience in one or more domains: ASIC bring-up and characterization, board-level debug, firmware validation, or large-scale system validation in data center environments.
• Experience developing test specifications, validation procedures, and debug methodologies for complex hardware systems.
• Proven root-cause analysis and troubleshooting of system-level failures across hardware, firmware, and software stacks.
• Experience with high-speed interconnects or memory subsystems such as PCIe, NVLink, DDR5, or HBM in AI or HPC validation contexts.
• Nice-to-have: integration of lab instrumentation and automation frameworks; proficiency in Linux and server system management; familiarity with SoC debug tools (JTAG, GDB, Trace32) and bus protocols (I2C, SPI, USB); experience defining telemetry and out-of-band management interfaces.

Education Requirements

Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field is required, or equivalent practical experience. Degree must be completed prior to joining Meta.

About the Company

Company: Meta Platforms

Headquarters: Menlo Park, California, United States

American technology company that develops social networking products (Facebook, Instagram, WhatsApp) and invests in virtual/augmented reality hardware and software through Reality Labs, focusing on connectivity, advertising, and immersive computing experiences.