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Meta Data Center Jobs in Texas (NOW HIRING)

... underpinning Meta's AI and data center workloads at scale. As an ASIC Engineer specializing in architecture, performance and modeling, you will define and drive the architectural definition ...

Meta's infrastructure underpins some of the world's most widely used platforms, and the data center lease portfolio that supports this infrastructure must be managed with precision, strategic ...

Meta's infrastructure underpins some of the world's most widely used platforms, and the data center lease portfolio that supports this infrastructure must be managed with precision, strategic ...

As a Design Verification Engineer, you will be part of a team working with experienced engineers across the industry, focused on developing advanced ASIC solutions for Meta's data center applications.

In this role, you will work alongside experienced engineers focused on developing advanced ASIC solutions that power Meta's data center infrastructure. You will own verification closure for design ...

As a Design Verification Engineer, you will be part of an agile team working with experienced engineers across the industry, focused on developing ASIC solutions for Meta's data center applications.

About the Role TESIM Electric is hiring a Data Center Superintendent to own the electrical scope on ... You've been on Meta, Google, Microsoft, or AWS sites. You know how these jobs actually run -- the ...

Meta's Infrastructure Silicon team is seeking a Staff ASIC Design Verification Engineer to drive verification strategy and execution for custom silicon powering Meta's data center infrastructure. In ...

Meta is seeking a Director of Strategic Projects to develop Meta's global data center portfolio in line with the company's strategic objectives to advance our efforts around AI. Director of Strategic ...

Meta is seeking a data center Critical Facility Engineer to join our Data Center Facility Operations team. Our data centers serve as the foundation upon which our software operates to meet the ...

Showing results 21-40

Meta Data Center information

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 Texas?

The most popular types of Meta Data Center jobs in Texas are:

What cities in Texas are hiring for Meta Data Center jobs?

Cities in Texas with the most Meta Data Center job openings:

Infographic showing various Meta Data Center job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Machine Learning SoC Architect

Meta

Austin, TX

$212K/yr

Full-time

Posted 18 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 246 rated software companies


Job description

Meta is seeking a Machine Learning SoC Architect for its Silicon Engineering organization responsible for building custom silicon solutions that power the infrastructure underpinning Meta's AI and data center workloads at scale. As an ASIC Engineer specializing in architecture, performance and modeling, you will define and drive the architectural definition, performance analysis, pre-silicon modeling, and microarchitectural exploration of custom ASICs designed for Meta's Data Centers. In this role, you will own ASIC architecture specification, establish the performance modeling methodology and long-term silicon roadmap strategy, partnering with other silicon, and software teams to ensure Meta's infrastructure silicon meets the demanding throughput, latency, and efficiency targets required at hyperscale.
Machine Learning SoC Architect Responsibilities:
  • Work on algorithm analysis, performance analysis and architecture definition of Machine Learning ASICs
  • Map Data Center workloads to heterogeneous ASICs that contain multiple different programmable processors and hardware accelerators. Perform detailed calculations to specify computation throughput, memory bandwidth and latency
  • evaluate performance v/s area v/s power tradeoffs
  • Drive the architecture definition of one or more of the following ASIC sub-systems: compute, memory, Network-On-Chip (NoC), collectives, debug etc. and chiplet based multi-die SoCs
  • Identify appropriate workloads and micro-benchmarks to be used for performance analysis and drive this analysis on simulation and emulation platforms to define and validate the architecture
  • Evangelize your innovative architectural solutions with your peers and leadership, while mentoring members of the architecture team
  • Collaborate with cross functional teams working on RTL design, Design Verification, Firmware/Software development, Pre-Post silicon validation and Program Management to deliver first pass functional silicon on an aggressive schedule
  • Collaborate with software and firmware teams to ensure that the ASIC meets end to end application performance goals while maintaining ease and efficiency of software development

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Experience and knowledge of Computer Architecture concepts such as microprocessor architecture, memory systems, on-chip interconnection networks, hardware/software partitioning etc
  • 12+ years of prior experience in defining and delivering multiple high performance ASICs into production, with focus on architecture definition and performance analysis
  • Experience in ASIC performance modeling, microarchitectural analysis, or pre-silicon simulation for custom silicon or SoC designs
  • Proficiency in C++ and Python for developing simulation models, automation frameworks, and performance analysis tools
  • Experience with performance analysis of data center, AI accelerator, or high-performance computing workloads on custom silicon
  • Experience defining architecture and microarchitectural specifications and driving cross-functional alignment across architecture, RTL, and physical design teams

Preferred Qualifications:
  • Familiarity with post-silicon performance validation and model-to-hardware correlation methodologies
  • Programming in C or C++ with knowledge of mapping hardware algorithms to efficient C/C++ code
  • Master's or PhD degree in Electrical Engineering, Computer Engineering or related field
  • Domain knowledge in one or more of power/performance tradeoffs, ML networks, ML frameworks such as Pytorch
  • Experience building or scaling performance modeling infrastructure for hyperscale data center ASICs, including network, storage, or AI inference accelerator designs

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.
$212,000/year to $294,000/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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