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Network Performance Engineer Jobs (NOW HIRING)

Meta

AI/HPC System Performance Engineer

Menlo Park, CA · On-site

$154K/yr

As an AI/HPC System Performance Engineer on the Network Infrastructure Engineering team, you will drive end-to-end performance characterization, bottleneck analysis, and optimization of large-scale ...

PDT Partners

Performance Engineer

New York, NY · On-site

$195K - $225K/yr

Performance Engineer We're looking for an exceptional Performance Engineer to join our growing ... Focus on infrastructure/system-level efficiency, working across Python, PyTorch, OS, networking ...

PDT Partners

Performance Engineer

New York, NY · Hybrid

$195K - $225K/yr

Performance Engineer We're looking for an exceptional Performance Engineer to join our growing ... Focus on infrastructure/system-level efficiency, working across Python, PyTorch, OS, networking ...

ADT

Cloud Network Engineer

Irving, TX · On-site

Looking for a seasoned cloud network engineer proficient in GCP, AWS, Azure networking, load ... Maintain and optimize network performance through proactive monitoring and capacity management.

Anthropic

Performance Engineer

San Francisco, CA

As a Performance Engineer, you'll be responsible for identifying these problems, and then ... Debug kernel-level network latency spikes in a containerized environment Deadline to apply: None.

Straveda, LLC

Lead Performance Engineer

Dallas, TX · On-site

Lead Performance Engineer, for a one year contract in Plano, TX. We are hiring for a solid Java ... Develop capacity projections for all systems including servers, network, and storage Oversee the ...

Straveda Llc

Lead Performance Engineer

Dallas, TX · On-site

Lead Performance Engineer, for a one year contract in Plano, TX. We are hiring for a solid Java ... Develop capacity projections for all systems including servers, network, and storage * Oversee the ...

INSPYR Solutions

Cloud Network Engineer

Irving, TX · On-site

Monitor and maintain optimal network performance and capacity. * Implement QoS configurations to prioritize traffic and ensure performance of critical applications. * Design high-availability ...

Akuna Capital

Performance Engineer

Chicago, IL · On-site

$145K/yr

What you'll do as a Performance Engineer at Akuna: We are seeking to grow our Performance ... Experience analyzing and tuning operating systems, compilers, networking, IO subsystems, or ...

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How much do network performance engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for network performance engineer in the United States is $109,040.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $133,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Network Performance Engineer, you need strong analytical skills in network design, troubleshooting, and performance optimization, often supported by a degree in computer science or a related field. Familiarity with network monitoring tools (such as Wireshark and SolarWinds), protocols, and certifications like CCNP or CCIE are typically required. Excellent problem-solving abilities, attention to detail, and effective communication set top performers apart in this role. These skills ensure optimal network reliability, security, and efficiency, which are critical for business continuity and user satisfaction.

What are some common challenges faced by Network Performance Engineers when optimizing large-scale enterprise networks?

Network Performance Engineers often encounter challenges such as identifying bottlenecks in complex, multi-vendor environments, ensuring consistent performance during peak usage, and managing unexpected outages or degradations. Troubleshooting can require in-depth analysis of vast amounts of data from various monitoring tools and close collaboration with infrastructure, security, and application teams. Staying updated on evolving technologies and best practices is essential to proactively address issues and maintain high network reliability.

What does a Network Performance Engineer do?

A Network Performance Engineer is responsible for monitoring, analyzing, and optimizing the performance of computer networks. They identify bottlenecks, troubleshoot issues, and implement solutions to ensure high network availability and reliability. Their work often includes configuring network devices, analyzing traffic patterns, and collaborating with other IT professionals to improve network efficiency. They may also use specialized tools to test network speed, latency, and bandwidth, ensuring the network meets organizational requirements.

What is the difference between Network Performance Engineer vs Network Engineer?

AspectNetwork Performance EngineerNetwork Engineer
CertificationsCCNA, CCNP, Cisco Performance certificationsCCNA, CCNP, CCIE
Work EnvironmentFocus on monitoring, analyzing, and optimizing network performanceDesigning, implementing, and maintaining network infrastructure
ResponsibilitiesPerformance analysis, troubleshooting, capacity planningNetwork setup, configuration, and security

The main difference is that Network Performance Engineers specialize in ensuring optimal network performance through analysis and troubleshooting, while Network Engineers focus on designing and maintaining network infrastructure. Both roles require similar certifications and often work in the same industry environments, but their core responsibilities differ.

More about Network Performance Engineer jobs
What states have the most Network Performance Engineer jobs? States with the most job openings for Network Performance Engineer jobs include:
What job categories do people searching Network Performance Engineer jobs look for? The top searched job categories for Network Performance Engineer jobs are:
Network Performance Engineer jobs near you
Infographic showing various Network Performance Engineer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $109,040 per year, or $52.4 per hour.
AI/HPC System Performance Engineer

AI/HPC System Performance Engineer

Meta

Menlo Park, CA • On-site

$154K/yr

Full-time

Posted 17 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

117th of 184 rated software companies

Job description

Meta is building some of the world's largest AI and high-performance computing infrastructure to power next-generation AI research and products. As an AI/HPC System Performance Engineer on the Network Infrastructure Engineering team, you will drive end-to-end performance characterization, bottleneck analysis, and optimization of large-scale AI training and inference clusters. In this role, you will work at the intersection of network fabric design, distributed computing, and AI workload behavior to ensure Meta's HPC systems deliver maximum throughput and efficiency for frontier model development.
AI/HPC System Performance Engineer Responsibilities:
  • Profile and benchmark AI training and inference workloads across large-scale HPC clusters to identify network, compute, and memory bottlenecks
  • Develop and maintain performance analysis frameworks and dashboards to track system-level metrics including GPU utilization, network bandwidth, latency, and collective communication efficiency
  • Investigate and resolve performance regressions in distributed AI training environments, including issues related to RDMA fabrics, collective communication libraries, and job scheduling
  • Collaborate with network infrastructure, hardware, and AI research teams to define performance requirements and validate new HPC cluster configurations
  • Design and execute capacity and scalability experiments to inform network topology decisions for AI supercomputing infrastructure
  • Build tooling and automation to continuously monitor HPC system health, detect anomalies, and reduce mean time to mitigation during performance incidents
  • Establish service level objectives for AI cluster network performance and drive cross-functional alignment on reliability and efficiency targets
  • Lead technical design reviews for network and system architecture changes affecting AI workload performance, communicating trade-offs clearly to engineering and product stakeholders
  • Mentor other engineers on HPC performance methodologies, debugging techniques, and instrumentation best practices
  • Leverage AI-assisted workflows to accelerate root cause analysis, automate routine performance reporting, and expand coverage across the HPC stack

Minimum Qualifications:
  • Experience profiling and optimizing distributed AI or HPC workloads, including familiarity with GPU interconnects, RDMA networking, and collective communication frameworks such as NCCL or MPI
  • Experience debugging complex, non-reproducible performance issues across multi-layer systems including network fabric, operating system, and application layers
  • Experience designing and implementing performance monitoring systems, including instrumentation, telemetry pipelines, and alerting for large-scale infrastructure
  • Experience driving cross-functional technical projects from requirements definition through production deployment, including communicating performance findings and trade-offs to diverse stakeholders
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 6+ years of experience in system performance engineering, network infrastructure engineering, or a related field within large-scale distributed computing or HPC environments

Preferred Qualifications:
  • Experience in developing systems software in languages like C++
  • Experience with machine learning frameworks such as PyTorch and TensorFlow
  • Understanding of RDMA congestion control mechanisms on IB and RoCE Networks
  • Understanding of the latest artificial intelligence (AI) technologies
  • Understanding of AI training workloads and demands they exert on networks
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

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.
$154,000/year to $217,000/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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