Hardware Systems Engineer, NPI AI

Meta; Menlo Park (CA); On-site; USD 118,000 - 170,000; Full time

Job summary

Meta is seeking a Hardware Systems Engineer to support the NPI of next-generation AI and HPC infrastructure for large-scale data centers.

You will work at the intersection of AI silicon, server systems, and data center operations, partnering with hardware design, firmware, software, networking, and capacity engineering teams to validate and scale cutting-edge AI hardware systems from early bring-up through production readiness.

Qualifications

• Bachelor's degree or equivalent practical experience; degree completed prior to joining Meta.
• 2+ years in hardware systems engineering, silicon validation, firmware validation, or system bring-up for AI servers/GPUs/AI accelerators.

Responsibilities

• Drive system validation strategies for AI and HPC hardware platforms in data centers.
• Hands-on bring-up, characterization, and validation of AI server systems and components (PCIe, NVLink, DRAM, networking).
• Develop and maintain test specs, validation procedures, and debug guides for AI infrastructure NPIs.
• Root-cause analysis of system failures across hardware, firmware and software stacks with cross-functional teams.
• Triage and track hardware/firmware defects through NPI milestones.
• Identify gaps in test coverage and improve methodologies, tooling, and automation.
• Define acceptance criteria and deployment readiness with AI platform and capacity teams.
• Support data collection, analysis, and reporting to surface hardware quality trends.
• Communicate validation status and findings to internal teams and external vendors.
• Collaborate on hardware-software interfaces for telemetry, diagnostics, and remote management.

Skills

Hardware systems engineering

Silicon validation

Firmware validation

System bring-up

Education

Bachelor's degree in CS/CE or equivalent

Tools

JTAG

GDB

Trace32

PCIe debugging

Job description

Meta is seeking a Hardware Systems Engineer to support the new product introduction (NPI) of next-generation AI and high-performance computing infrastructure for large-scale data center deployments. In this role, you will work at the intersection of AI silicon, server systems, and data center operations, partnering with hardware design, firmware, software, networking, and capacity engineering teams to validate and scale cutting-edge AI hardware systems from early bring-up through production readiness.

Hardware Systems Engineer, NPI AI Responsibilities:

• Drive system validation strategies for AI and HPC hardware platforms, including AI accelerators, GPU clusters, and high-bandwidth memory subsystems in data center environments.
• Perform hands-on bring-up, characterization, and validation of AI server systems and associated components such as PCIe, NVLink, DRAM, and high-speed networking fabrics.
• Develop and maintain test specifications, validation procedures, and debug guides tailored to AI infrastructure NPI programs.
• Investigate and root-cause complex system failures spanning silicon, firmware, software, and hardware layers in collaboration with cross-functional engineering teams.
• Triage and track hardware and firmware defects through resolution while maintaining forward progress on NPI program milestones.
• Identify gaps in test coverage and contribute improvements to test methodologies, tooling, and automation frameworks across the NPI lifecycle.
• Partner with AI platform and capacity engineering teams to define acceptance criteria and deployment readiness standards for new AI hardware systems.
• Support data collection, analysis, and reporting efforts to surface systemic hardware quality trends.
• Communicate validation status and technical findings to internal engineering teams and external hardware vendors.
• Collaborate with firmware and software teams on hardware-software interface requirements for telemetry, diagnostics, and remote management of AI infrastructure.

Minimum Qualifications:

• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
• 2+ years of 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 of the following 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
• Experience with 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 the context of AI or HPC system validation

Preferred Qualifications:

• Experience integrating lab instrumentation and automation frameworks to support NPI validation workflows
• Proficiency in Linux environments and server system management tools used in data center operations
• Experience with debugging tools for SoCs including JTAG, GDB, or Trace32, and familiarity with common bus protocols such as I2C, SPI, USB, and PCIe
• Experience defining hardware-software interface requirements for telemetry, diagnostics, and out-of-band management in AI infrastructure deployments

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E‑Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].

$118,000/year to $170,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.