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Meta Hardware Jobs in Washington (NOW HIRING)

Meta

Network Engineer, Operations & Support

Ashburn, VA · On-site

$135K/yr

Meta's Edge & Network Services team is responsible for the deployment and operational support of ... Plan and execute scheduled maintenance activities including hardware upgrades, software migrations ...

Meta

Network Engineer, ENS Strategic Lead

Ashburn, VA · On-site

$193K/yr

... hardware platforms. Partner with highly cross-functional teams to identify and solve problems at the scale of Meta's rapid growth * Business Ownership: Represent the organization and manage ...

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Meta Hardware information

What are meta hardware roles?

Meta Hardware roles involve designing, developing, testing, and maintaining the physical devices that support Meta's products and services. This includes work on virtual reality headsets (such as Oculus), smart glasses, data center servers, networking equipment, and other hardware innovations. Professionals in these roles collaborate with software engineers, industrial designers, and product teams to ensure hardware performance, reliability, and user experience meet Meta’s standards. These positions require expertise in electrical engineering, mechanical engineering, embedded systems, and often experience with consumer electronics.

What are the key skills and qualifications needed to thrive as a meta hardware engineer?

To thrive as a Meta Hardware Engineer, you generally need a strong background in electrical engineering, computer engineering, or a related field, with experience in hardware design and development. Familiarity with CAD tools, PCB design software, FPGA development environments, and industry certifications such as IPC or IEEE standards is often required. Strong problem-solving skills, teamwork, and effective communication help engineers excel in cross-functional environments. These skills and qualifications are crucial for developing innovative, reliable hardware solutions that meet the demands of cutting-edge technology at Meta.

What are some common challenges faced by professionals working in meta hardware roles, and how can they be addressed?

Professionals in Meta Hardware roles often contend with rapidly evolving technology, tight project timelines, and cross-functional collaboration with software and design teams. Keeping up with the latest advancements in hardware and ensuring seamless integration with software can be demanding. To address these challenges, staying updated on industry trends, fostering clear communication with colleagues from different departments, and actively participating in ongoing training or knowledge-sharing sessions are essential. Additionally, being adaptable and solution-oriented helps in navigating the fast-paced environment typical of Meta's hardware teams.

What is the difference between Meta Hardware vs Meta Software Engineer?

AspectMeta HardwareMeta Software Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Engineering, or related fields; experience with hardware design and testingBachelor's or higher in Computer Science, Software Engineering, or related fields; programming skills in C++, Python, Java
Work EnvironmentDesign labs, manufacturing facilities, hardware testing environmentsOffice settings, software development labs, collaborative teams
Employer & Industry UsagePrimarily in hardware product development for AR/VR devices, servers, and networking hardwareDevelops software applications, platforms, and tools for Meta's social media and virtual reality products

Meta Hardware roles focus on designing, testing, and manufacturing physical devices, requiring hardware-specific skills and environments. In contrast, Meta Software Engineers develop software solutions, emphasizing programming and software development skills. Both roles are essential in Meta's tech ecosystem but differ significantly in their focus and daily tasks.

Does Meta hire hardware engineers?

Yes, Meta hires hardware engineers to work on products such as servers, networking equipment, and consumer devices. These roles typically require skills in electrical engineering, hardware design, and proficiency with tools like CAD software. Candidates often need relevant experience and a background in hardware development or related fields.

What are popular job titles related to Meta Hardware jobs in Washington?

For Meta Hardware jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Meta Hardware jobs in Washington look for?

The top searched job categories for Meta Hardware jobs in Washington are:

What cities in Washington are hiring for Meta Hardware jobs?

Cities in Washington with the most Meta Hardware job openings:

Meta Hardware jobs near you
Infographic showing various Meta Hardware job openings in Washington as of August 2026, with employment types broken down into 86% Full Time, 4% Part Time, 2% Temporary, and 8% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Network Engineer, Engineering R&D Environments

Meta

Ashburn, VA • On-site

$135K/yr

Full-time

Re-posted 6 days ago

Key responsibilities

  • Own end-to-end network design, deployment, and operations for AI and compute lab clusters.

  • Perform troubleshooting and root-cause analysis across network layers using packet captures, telemetry, and vendor tools.

  • Lead and execute lab network lifecycle activities, including upgrades, migrations, capacity expansions, and decommissioning.

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's Lab Infrastructure, Network, Compliance, and Security (LINCS) team is seeking a network engineer to help build and scale the network infrastructure supporting Meta's global engineering labs. Our team is responsible for network design, deployment, and operations for Meta's global engineering labs where we support multiple engineering teams. With the importance of rapidly maturing new technologies like the Metaverse and Gen AI, there are significant opportunities to re-think traditional networking and iterate quickly in our environment. This role offers an opportunity to work directly with engineering teams that are maturing new hardware and software on the path to production.
Network Engineer, Engineering R&D Environments Responsibilities:
  • Own end-to-end frontend and backend network design, deployment, and operations for AI and compute lab clusters
  • Serve as a primary networking point of contact for backend fabrics, including Arista- and internally developed network OS-based scale-out networks supporting AI workloads
  • Design, deploy, and support high-throughput, low-latency cluster networking, including congestion management (PFC/ECN), RDMA validation, and lossless transport
  • Perform hands-on troubleshooting and root-cause analysis across L1–L4 using packet captures, telemetry, and vendor tools to resolve complex lab issues
  • Support silicon, hardware, and software bring-ups, ensuring reliable connectivity and on-time validation
  • Lead and execute lab network lifecycle activities, including upgrades, migrations, capacity expansions, and decommissioning across regions
  • Develop and maintain network automation, configuration templates, and zero-touch provisioning (ZTP) workflows
  • Create and maintain MOPs, runbooks, and readiness checklists for internal teams and vendor executions
  • Provide direct consultation and training to cross-functional partners, enabling teams to operate and troubleshoot lab networks
  • End-to-end ownership of projects from requirements definition through customer handoff
  • Collaborate closely with hardware, software, systems, and lab operations teams to validate new platforms, optics, and network designs
  • Support limited travel (about 10%) for critical lab builds, migrations, or escalations

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience
  • 6+ years of experience designing, deploying, and operating network infrastructure in production or lab environments
  • Experience working in multi-vendor environments, including Arista, FBOSS-based platforms, and lab networking hardware
  • Experience with configuration management, code repositories, and zero-touch provisioning (ZTP) for network infrastructure
  • Experience with IPv4/IPv6, L2/L3 protocols, including STP, OSPF, BGP, TCP/IP, DHCP, DNS, VLANs, VRRP, LACP, MC-LAG, ACLs, MACsec, and EVPN/VXLAN
  • Working knowledge of scripting or programming languages (e.g., Python, shell) for automation and tooling
  • Demonstrated experience to operate consistently while working under your own initiative, seeking feedback and input where appropriate in a global, time-critical environment, managing multiple priorities and mission-critical timelines

Preferred Qualifications:
  • Understanding of physical infrastructure design, including structured cabling, space, power, and cooling systems
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy review)
  • Networking L1 expertise in validating multi-vendor optics, with proficiency using the BCM shell and I2C utilities to troubleshoot hardware-level issues
  • Experience with network automation, CI/CD pipelines, audit frameworks, and validation tooling
  • Hands-on experience with backend cluster networking, including scale-out fabrics, RDMA networks, and congestion management
  • Experience supporting AI/ML or high-performance compute clusters in lab or pre-production environments
  • Hands-on experience with lab test equipment, optics qualification (e.g., 400G/800G), optical switches and physical infrastructure
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Hold networking certifications such as CCIE, JNCIE or equivalent
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Hands-on experience with disaggregated networking products and software, such as Meta's open network OS (FBOSS), SONiC, Cumulus Linux, or equivalent open networking platforms

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.
$135,000/year to $191,000/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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