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Meta Data Center Jobs in Austin, TX (NOW HIRING)

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.

Local Public Policy Manager

Austin, TX

$117K - $143K/yr

Meta seeks an experienced leader to build and manage the company's local government affairs efforts in support of our data center site strategy across t.

... Meta Infrastructure Data Center teams * Remain informed of operational equipment deficiencies, evaluate systemic potential and program manage systemic vendor RCA and site escalation mitigation ...

... Meta's operations * Support domestic and international, as needed, data center site selection and development activities * Collaborate with internal organizations including sustainability, legal, tax ...

... and shipping data center system equipment * Experience with a variety of electronic ... Meta builds technologies that help people connect, find communities, and grow businesses. When ...

Showing results 21-40

Meta Data Center information

See Austin, TX salary details

$51K

$146.2K

$195.3K

How much do meta data center jobs pay per year?

As of Sep 8, 2026, the average yearly pay for meta data center in Austin, TX is $146,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,300.00 and $194,300.00 per year, depending on experience, location, and employer.

What is a Meta Data Center?

A Meta Data Center job involves working at one of Meta’s (formerly Facebook) large-scale data centers that support its global network and services. Employees in these roles manage, maintain, and optimize the physical infrastructure, including servers, networking equipment, and cooling systems. Positions range from data center technicians and network engineers to facility operations and security personnel. These jobs require technical expertise, problem-solving skills, and the ability to work in a fast-paced, mission-critical environment.

What are the typical daily responsibilities of someone working in a Meta Data Center role?

Daily responsibilities in a Meta Data Center position usually include monitoring server and network health, performing routine hardware maintenance, and responding quickly to outages or performance issues. Team members also assist with the deployment of new equipment, handle troubleshooting tasks, and ensure that all systems adhere to strict security and operational standards. Collaboration with engineers, facility managers, and security teams is common to ensure seamless data center operations. The environment is typically fast-paced, structured around shift work to maintain 24/7 coverage, providing valuable hands-on experience with cutting-edge technology and large-scale infrastructure.

What are the key skills and qualifications needed to thrive in the Meta Data Center position, and why are they important?

To thrive in a Meta Data Center role, you need strong technical knowledge of data center infrastructure, networking, and server hardware, often complemented by a relevant degree or certifications such as CompTIA Server+ or Cisco CCNA. Familiarity with monitoring tools, data center management platforms, and virtualization technologies is typically required. Attention to detail, strong problem-solving abilities, and the capacity to work well under pressure are valued soft skills in this position. These skills are critical for efficiently maintaining uptime, troubleshooting issues, and supporting the core operations of Meta's global data centers.

What are the most commonly searched types of Meta Data Center jobs in Austin, TX?

The most popular types of Meta Data Center jobs in Austin, TX are:

What cities near Austin, TX are hiring for Meta Data Center jobs?

Cities near Austin, TX with the most Meta Data Center job openings:

Infographic showing various Meta Data Center job openings in Austin, TX as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 16% Part Time, 7% Temporary, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $146,165 per year, or $70.3 per hour.

Production Systems Engineer, AI Systems

Meta

Austin, TX • On-site

$144K/yr

Full-time

Posted 7 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies


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 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
  • 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
  • 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 leading 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
  • Experience analyzing system telemetry and fleet health data to identify reliability trends and drive engineering improvements

Preferred Qualifications:
  • Proficiency in scripting or programming languages such as Python for automation of infrastructure workflows and data analysis
  • 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
  • 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

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 accommodations-ext@meta.com.
$144,000/year to $204,000/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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