Production Systems Engineer, AI Systems

Meta; Menlo Park (CA); On-site; USD 173,000 - 245,000; Full time

Job summary

Meta seeks a Hardware Systems Engineer to drive end-to-end validation of AI and HPC hardware for large-scale data centers. You will lead bring-up, characterization, and validation of AI server systems, GPUs, and accelerators, collaborating with design, firmware, software, networking, and capacity teams to ensure production readiness.

You will develop test specs and debug guides, investigate complex failures across hardware stacks, and drive improvements in test methodologies and automation for

Qualifications

• Bachelor's degree in CS/CE or equivalent
• 8+ years in hardware systems engineering or related AI server validation
• Experience with ASIC bring-up, board debugging, firmware validation, or large-scale data center validation
• Experience developing test specifications and validation procedures
• Experience with PCIe, NVLink, DDR5, or HBM in AI/HPC context
• Experience leading root-cause analysis across hardware/firmware/software
• Experience analyzing telemetry/fleet health data for improvements
• Experience leading large cross-functional teams

Responsibilities

• Lead end-to-end system validation strategies for AI/HPC hardware in data center environments
• Drive bring-up, characterization, and validation of AI server systems and components like PCIe and high-speed fabrics
• Develop and maintain test specs, validation procedures, and debug guides for NPI programs
• Investigate root causes spanning silicon to software with cross-functional teams
• Triage hardware/firmware defects and track progress against milestones
• Identify gaps in test coverage and drive tooling/automation improvements
• Collaborate to define acceptance criteria and deployment readiness standards
• Guide data collection and analysis to surface hardware quality trends
• Communicate validation status and risks to internal teams and vendors
• Collaborate on hardware-software interface requirements for telemetry and remote management

Skills

Hardware systems engineering

Silicon validation

Firmware validation

System bring-up

ASIC bring-up

Board-level debugging

Test specifications

PCIe

NVLink

HBM

DDR5

High-speed interconnects

Python scripting

Linux server environments

Data center validation

Project leadership

Education

Bachelor's degree in CS/CE

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 server systems, AI applications, 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.

Production Systems Engineer, AI Systems Responsibilities:

• Lead end-to-end system validation strategies for AI and HPC hardware platforms, including AI accelerators, GPU clusters, and high-bandwidth memory subsystems in data center environments
• Drive 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 their resolution while maintaining forward progress on NPI program milestones
• Identify gaps in test coverage and drive 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
• Guide data collection, analysis, and reporting efforts to surface systemic hardware quality trends and inform go/no-go decisions for production deployment
• Communicate validation status, risk assessments, and technical findings to internal engineering teams and external hardware vendors
• Collaborate with firmware and software teams to define hardware-software interface requirements for telemetry, diagnostics, and remote management of AI infrastructure

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 8+ 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 in developing test specifications, validation procedures, and debug methodologies for complex hardware systems
• Experience with high-speed interconnects or memory subsystems such as PCIe, NVLink, DDR5, or HBM in the context of AI or HPC system validation
• Experience leading root-cause analysis and troubleshooting of system-level failures across hardware, firmware, and software stacks
• Experience analyzing system telemetry and fleet health data to identify reliability trends and drive engineering improvements
• Experience leading projects with large teams

Preferred Qualifications:

• Experience with high-speed interconnects and memory subsystems such as PCIe, NVLink, InfiniBand, DDR5, or HBM in the context of AI or HPC infrastructure operations
• Proficiency in scripting or programming languages such as Python for the automation of infrastructure workflows and data analysis
• Understanding of the AI training process
• Familiarity with Linux-based server environments and data center management tooling used in large-scale production operations
• Experience defining hardware-software interface requirements for telemetry, out-of-band management, or remote diagnostics in data center AI systems

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].

$173,000/year to $245,000/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.