Production Systems Engineer, AI Systems

Meta; Bellevue (WA); On-site; USD 144,000 - 204,000; 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 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.

Qualifications

• Bachelor's degree in CS/CE or equivalent.
• 6+ years in hardware systems engineering or AI server bring-up.
• Experience with ASIC bring-up, board-level debug, or large-scale data center validation.
• Experience developing test specifications, validation procedures, and debug methodologies.
• Experience leading root-cause analysis across hardware, firmware & software.
• Experience with PCIe, NVLink, DDR5, or HBM in AI/HPC validation.
• Experience analyzing telemetry and fleet health data.

Responsibilities

• Lead end-to-end validation strategies for AI and HPC hardware in data centers.
• Bring-up and validate AI server systems and components like PCIe, NVLink, memory.
• Develop test specs, validation procedures, and debug guides.
• Investigate root causes across silicon, firmware, software, and hardware.
• Track defects and progress milestones during NPI.
• Define acceptance criteria and deployment readiness with teams.

Skills

Python scripting

Linux server environments

Telemetry data analysis

Education

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Job description

Summary:

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.

Required Skills:

Production Systems Engineer, AI Systems Responsibilities:

1. 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

2. 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

3. Develop and maintain test specifications, validation procedures, and debug guides tailored to AI infrastructure NPI programs

4. Investigate and root-cause complex system failures spanning silicon, firmware, software, and hardware layers in collaboration with cross-functional engineering teams

5. Triage and track hardware and firmware defects through resolution while maintaining forward progress on NPI program milestones

6. Identify gaps in test coverage and drive improvements to test methodologies, tooling, and automation frameworks across the NPI lifecycle

7. Partner with AI platform and capacity engineering teams to define acceptance criteria and deployment readiness standards for new AI hardware systems

8. Guide data collection, analysis, and reporting efforts to surface systemic hardware quality trends and inform go/no-go decisions for production deployment

9. Communicate validation status, risk assessments, and technical findings to internal engineering teams and external hardware vendors

10. Collaborate with firmware and software teams to define hardware-software interface requirements for telemetry, diagnostics, and remote management of AI infrastructure

Minimum Qualifications:

Minimum Qualifications:

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

2. 6+ 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

3. 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

4. Experience developing test specifications, validation procedures, and debug methodologies for complex hardware systems

5. Experience leading root-cause analysis and troubleshooting of system-level failures across hardware, firmware, and software stacks

6. Experience with high-speed interconnects or memory subsystems such as PCIe, NVLink, DDR5, or HBM in the context of AI or HPC system validation

7. Experience analyzing system telemetry and fleet health data to identify reliability trends and drive engineering improvements

Preferred Qualifications:

Preferred Qualifications:

1. Proficiency in scripting or programming languages such as Python for automation of infrastructure workflows and data analysis

2. Familiarity with Linux-based server environments and data center management tooling used in large-scale production operations

3. Experience defining hardware-software interface requirements for telemetry, out-of-band management, or remote diagnostics in data center AI systems

4. 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

Public Compensation:

$144,000/year to $204,000/year + bonus + equity + benefits

Industry:

Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and affirm\a 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].