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Infiniband Jobs in Virginia (NOW HIRING)

teKnoluxion

HPC Systems Engineer

Charlottesville, VA

$150K - $200K/yr

Troubleshoot hardware, OS, scheduler, networking, and high-performance interconnect issues (e.g., InfiniBand) * Integrate compute nodes and hardware into clusters * Develop automation and operational ...

Cymertek

HPC Software Engineer

Reston, VA · On-site

Experience with high-speed interconnects (e.g., InfiniBand) * Understanding of job schedulers and resource managers (e.g., Slurm) * Strong technical documentation and reporting skills * Ability to ...

Cymertek

HPC Software Engineer

Chantilly, VA · On-site

Experience with high-speed interconnects (e.g., InfiniBand) * Understanding of job schedulers and resource managers (e.g., Slurm) * Strong technical documentation and reporting skills * Ability to ...

Cymertek

HPC Software Engineer

Tysons, VA · On-site

Experience with high-speed interconnects (e.g., InfiniBand) * Understanding of job schedulers and resource managers (e.g., Slurm) * Strong technical documentation and reporting skills * Ability to ...

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Infiniband information

What is InfiniBand?

Infiniband is a high-speed, low-latency networking technology commonly used in data centers and high-performance computing environments. It is designed to connect servers, storage systems, and network devices, providing much faster data transfer rates than traditional Ethernet. Infiniband supports scalable bandwidth and efficient communication, which makes it ideal for applications requiring rapid data movement, such as scientific simulations and large-scale database transactions. Its architecture also supports remote direct memory access (RDMA), which further reduces latency and CPU overhead.

What are the key skills and qualifications needed to thrive as an InfiniBand network engineer, and why are they important?

To thrive as an InfiniBand Network Engineer, you need a strong background in computer networking, Linux system administration, and high-performance computing (HPC) environments, often supported by a degree in computer science or related field. Familiarity with InfiniBand architecture, experience with tools like OpenFabrics Enterprise Distribution (OFED), and certifications such as CompTIA Network+ are valuable. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for this role. These abilities are essential for ensuring efficient, reliable InfiniBand network performance in complex HPC or data center environments.

What are the typical responsibilities of an InfiniBand network engineer in a data center environment?

InfiniBand network engineers are primarily responsible for designing, deploying, and maintaining high-performance InfiniBand fabrics that connect servers and storage systems in data centers, especially in HPC (High-Performance Computing) environments. Their daily tasks include monitoring network performance, troubleshooting connectivity or latency issues, and performing firmware and driver updates on InfiniBand switches and host adapters. They also collaborate closely with system administrators and application teams to optimize throughput and ensure reliable, low-latency communication. Additionally, InfiniBand engineers often participate in capacity planning and help scale the network infrastructure to meet growing computational demands.

What is the difference between Infiniband vs Ethernet Network Engineer?

AspectInfinibandEthernet Network Engineer
Required CredentialsNetworking certifications, Cisco, Cisco CCNA, CCNPNetworking certifications, Cisco, CCNA, CCNP
Work EnvironmentData centers, high-performance computing environmentsCorporate networks, data centers, enterprise environments
Industry UsageHigh-performance computing, research institutionsBusiness, telecommunications, enterprise IT
Common Search/ComparisonYesYes

Infiniband and Ethernet Network Engineers both work with network infrastructure, but Infiniband specializes in high-speed, low-latency connections used in data centers and HPC environments. Ethernet Network Engineers focus on standard Ethernet networks used across various industries. While their certifications and skills overlap, their work environments and applications differ significantly.

What are popular job titles related to Infiniband jobs in Virginia? For Infiniband jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Infiniband jobs in Virginia look for? The top searched job categories for Infiniband jobs in Virginia are:
What cities in Virginia are hiring for Infiniband jobs? Cities in Virginia with the most Infiniband job openings:
Infiniband jobs near you
Infographic showing various Infiniband job openings in Virginia as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Network Engineer, AI Infrastructure Repair

Meta

Ashburn, VA

$193K/yr

Full-time

Re-posted 4 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 242 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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