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Meta Hardware Jobs in Oregon (NOW HIRING)

Meta

OR

$193K/yr

Meta is building the next generation of AI infrastructure to power large-scale machine learning ... Partner with hardware, software, and data center operations teams to align network repair programs ...

Meta

OR

$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 ...

Meta

Controls Subject Matter Expert

Prineville, OR

$114K/yr

Meta is seeking a data center Controls Subject Matter Expert (SME) to join our Data Center Facility ... Troubleshoot and repair controls hardware including controllers, relays, measurement devices ...

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Meta Hardware information

What are the key skills and qualifications needed to thrive as a Meta Hardware Engineer, and why are they important?

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.

Does Meta hire hardware engineers?

Yes, Meta hires hardware engineers to work on products such as virtual reality headsets, servers, and networking equipment. These roles typically require skills in electrical engineering, hardware design, and proficiency with tools like CAD software. Hardware engineers at Meta may work in research, development, or manufacturing environments and often need relevant experience or certifications.

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.

Is it hard to get hired by Meta?

Getting hired for Meta hardware roles can be competitive, often requiring relevant technical skills, experience with hardware design or manufacturing, and a strong understanding of the company's products. Candidates typically go through multiple interview rounds that assess technical knowledge, problem-solving, and cultural fit.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include executive roles such as CEOs, CFOs, and other C-suite positions, as well as specialized roles like successful entrepreneurs, top-tier investment bankers, and certain technology executives. These positions typically require extensive experience, advanced skills, and often involve leadership responsibilities or ownership stakes.

What tech jobs pay 400,000 a year?

High-paying tech jobs that can reach $400,000 annually include senior software engineers, engineering managers, and technical directors, especially in large companies or with significant stock options and bonuses. Roles often require advanced skills, extensive experience, and sometimes leadership responsibilities or specialized expertise in areas like AI, cloud computing, or cybersecurity.

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.

What are popular job titles related to Meta Hardware jobs in Oregon? For Meta Hardware jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Meta Hardware jobs in Oregon look for? The top searched job categories for Meta Hardware jobs in Oregon are:
What cities in Oregon are hiring for Meta Hardware jobs? Cities in Oregon with the most Meta Hardware job openings:
Meta Hardware jobs near you
Infographic showing various Meta Hardware job openings in Oregon as of July 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.
Network Engineer, AI Infrastructure Repair

Network Engineer, AI Infrastructure Repair

Meta

Prineville, OR

$193K/yr

Full-time

Posted 22 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 245 rated software companies

Job description

Meta is building the next generation of AI infrastructure to power large-scale machine learning workloads, and the reliability of that infrastructure depends on reliable, high-performance network engineering. In this role, you will lead the strategy and execution for AI network repair and remediation programs, ensuring that the high-performance fabrics underpinning Meta's AI training and inference clusters remain operational, resilient, and optimized. You will drive cross-functional initiatives spanning network deployment, fault diagnosis, and repair automation across Meta's AI data center environments, shaping the systems and processes that keep AI infrastructure at scale.
Network Engineer, AI Infrastructure Repair Responsibilities:
  • Define and drive the long-term strategy for AI network repair and remediation programs across large-scale data center environments supporting machine learning workloads
  • Lead root cause analysis and resolution of complex network faults affecting high-performance AI training and inference fabrics, including RDMA, high-speed Ethernet, and optical interconnect layers
  • Develop and champion novel approaches to network fault detection, automated remediation, and repair workflow optimization for AI cluster infrastructure
  • Partner with hardware, software, and data center operations teams to align network repair programs with AI infrastructure deployment roadmaps and capacity plans
  • Establish and refine operational frameworks, runbooks, and tooling for network repair at scale, reducing mean time to repair across AI fabric environments
  • Identify systemic reliability risks in AI network infrastructure and drive cross-functional initiatives to address them before they impact production workloads
  • Influence the design of next-generation AI network architectures by contributing repair and reliability insights to hardware and topology decisions
  • Leverage AI-driven analytics and automation tools to redesign repair workflows, accelerating fault identification and resolution across distributed network environments
  • Build and maintain strategic relationships with internal engineering, operations, and vendor partners to ensure repair programs scale with AI infrastructure growth
  • Communicate program status, risk, and strategic recommendations to engineering leaders and cross-functional stakeholders through structured reporting and executive briefings

Minimum Qualifications:
  • Experience influencing technical direction and organizational strategy through data-driven analysis, written proposals, and stakeholder alignment across engineering and operations teams
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Experience leading cross-functional programs that span network operations, hardware deployment, and infrastructure reliability at data center scale
  • Experience developing and driving strategy for network fault management, repair automation, or remediation programs in production environments
  • Experience designing, deploying, or operating high-speed network fabrics used in AI or machine learning infrastructure, including technologies such as RDMA over Converged Ethernet, InfiniBand, or high-density optical interconnects
  • 12+ years of experience in network engineering, with a focus on large-scale data center or high-performance computing network environments

Preferred Qualifications:
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience with network telemetry platforms, observability tooling, or AI-assisted anomaly detection applied to large-scale fabric environments
  • Experience building or scaling repair operations programs, including workforce planning, tooling development, and process standardization across multiple data center sites
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Track record of contributing to network hardware or topology design reviews, translating operational repair insights into upstream engineering improvements
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Familiarity with AI accelerator interconnect architectures and the network reliability requirements of distributed training workloads at hyperscale

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.
$193,000/year to $271,000/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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