Production Systems Engineer, AI Systems
- Location
- Austin, TX · On-site
- Job type
- Full-time
- Level
- Lead / Staff
- Experience
- 8+ years
- Education
- Bachelor's degree
- Listed
- 28 days ago
Skills & highlights for this role
- ASIC bring-up
- board-level debug
- PCIe
- DDR5
- firmware validation
Also useful
- NVLink
- HBM
- InfiniBand
- Python
Stated benefits & perks
- Health
About the role
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- Production Systems Engineer, AI Systems
- Production Systems Engineer, AI Systems
- Austin, TX +2 locations
- Engineering
- + 5 more
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
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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.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
United States of America: $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.
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Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
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From Meta's careers page, first listed on Rolev.ai on October 12, 2026. Rolev.ai is not the employer.
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Common questions
Where is the Production Systems Engineer, AI Systems job at Meta located?
This Production Systems Engineer, AI Systems position at Meta is located in Austin, TX (On-site). Always check Meta's application page for specific state eligibility or relocation policies.
What qualifications are required for Production Systems Engineer, AI Systems at Meta?
For the Production Systems Engineer, AI Systems role, Meta highlights 8+ years of relevant experience; a bachelor's degree; experience with ASIC bring-up, board-level debug, PCIe, DDR5, firmware validation. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
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This listing links directly to Meta's application page. You can apply directly on Meta's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.