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Network Performance Engineer Jobs in New York (NOW HIRING)

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 ...

Perimeterwatch

Network Engineer

Astoria, NY · On-site

$129K/yr

Knowledge or experience in network usage monitoring and performance engineering for optimal network utilization, availability, and stability. Knowledge or experience in maximizing network performance ...

OpenAI

ChatGPT Performance Engineer

New York, NY · On-site +1

$325K - $405K/yr

About the Role OpenAI is looking for an experienced Performance Engineer to help us scale the ... networking, storage, Python runtime, GPU utilization, and beyond. * Develop tooling and metrics ...

Staffingine LLC

AWS Network Engineer

Parsippany, NJ · On-site

Job Title: AWS Network Engineer Job Location: Parsippany, NJ Job Type: Contract * 4-7 years of ... Monitor and optimize network performance and troubleshoot latency, connectivity or availability ...

Healthcare IT Leaders

Network Engineer

Manhattan, NY · On-site

... network performance across complex hospital and office environments. This is a contract-to-hire ... Mentor junior engineers and provide technical leadership on enterprise networking initiatives.

BlackHawk Data

Network Engineer

Manhattan, NY · On-site

$65K - $100K/yr

Engineering/Delivery Division: Corporate Job Status: Full-Time Work Shift: 8:30 AM - 5:30 The ... Monitor network performance and identify issues impacting availability or performance

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Network Performance Engineer information

See New York salary details

$33.9K

$119.3K

$172.9K

How much do network performance engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for network performance engineer in New York is $119,293.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $146,100.00 per year, depending on experience, location, and employer.

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.

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 are popular job titles related to Network Performance Engineer jobs in New York? For Network Performance Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Network Performance Engineer jobs in New York look for? The top searched job categories for Network Performance Engineer jobs in New York are:
Network Performance Engineer jobs near you
Performance Engineer

Performance Engineer

PDT Partners

New York, NY • On-site

$195K - $225K/yr

Full-time

Posted 3 days ago

Job description

Performance Engineer
We're looking for an exceptional Performance Engineer to join our growing technology organization. Interviewing at PDT is intentionally focused on finding great people who can build long-term, impactful careers with us.
Performance Engineers at PDT are responsible for deeply understanding and optimizing the systems that enable our trading strategies at scale. You will work at the intersection of software, systems, and hardware to analyze performance, drive infrastructure efficiency, and free up critical compute capacity. Your work directly amplifies researcher velocity and scales our core models, creating massive impact through both cost savings and accelerated innovation. You'll thrive at PDT if you love open-ended problems, diving into GPU optimization and system optimization/design, and are excited to take your discoveries all the way to production at scale.
This is a hybrid position and will require the person to work from our New York City office at a minimum of 3 days a week.
Why join us
PDT Partners has a stellar 30+ year track record and a reputation for excellence. Our goal is to be the best quantitative investment manager in the world, measured by the quality of our products, not their size. PDT's very high employee-retention rate speaks for itself. Our people are intellectually extraordinary, and our community is close-knit, down-to-earth, and diverse.
Key Responsibilities
  • Analyze and understand system performance to enhance researcher throughput and velocity.
  • Focus on infrastructure/system-level efficiency, working across Python, PyTorch, OS, networking, storage, and CPU/GPU layers to optimize compute resource utilization
  • Read and understand software layers, providing suggestions/PRs that optimize parts of codebases.
  • Free up capacity and reduce costs by improving computational efficiency
  • Support scaling of core models by ensuring efficient implementation
  • Propose and implement systems to improve performance telemetry
  • Conduct proof-of-concept (PoC) evaluations and contribute to system design
  • Identify and act on optimization opportunities across the stack

Below is a list of skills and experiences we think are relevant. Even if you don't think you're a perfect match, we still encourage you to apply because we are committed to developing our people.
  • Strong proficiency in Linux and its associated performance engineering toolset.
  • Experience with PyTorch, GPUs and CUDA for optimization.
  • Deep understanding and appreciation of what happens at the hardware-software interface.
  • Versatile engineering mindset: ability to learn quickly, tackle diverse challenges, and adapt.
  • Skills in coding, micro-optimization, and understanding multiple programming languages.
  • Ability to analyze performance without being solely focused on heads-down optimization.

The salary range for this role is between $195,000 and $225,000. This range is not inclusive of any potential bonus amounts. Factors that may impact the agreed upon salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other external factors.
PRIVACY STATEMENT: For information on ways PDT may collect, use, and process your personal information, please see PDT's privacy notices.

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