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Weekend Performance Engineer Jobs in Seattle, WA

Amazon

Software Dev Engineer, EC2 Nitro

Seattle, WA

$159.30K/yr

We're seeking an exceptional Software Development Engineer to build and optimize the performance measurement infrastructure for some of the most computationally intensive AI/ML workloads on AWS. In ...

Amazon

Software Dev Engineer, EC2 Nitro

Seattle, WA · On-site

$159.30K/yr

We're seeking an exceptional Software Development Engineer to build and optimize the performance measurement infrastructure for some of the most computationally intensive AI/ML workloads on AWS. In ...

Zoox

Senior Software Engineer - Performance

Seattle, WA

$139.40K - $183.80K/yr

As a performance software engineer within the Software Core Performance team, you will instrument, monitor, analyze, and optimize performance-critical algorithms. Your broad experience in developing ...

Nvidia

Senior High Performance AI Engineer

Redmond, WA · On-site

$137.20K - $180.90K/yr

We are looking for outstanding Senior High Performance AI Engineer to build groundbreaking multi-agent systems for the CUDA ecosystem. We build innovative agentic runtimes and compiler-integrated ...

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Weekend Performance Engineer information

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How much do weekend performance engineer jobs pay per hour?

As of May 29, 2026, the average hourly pay for weekend performance engineer in Seattle, WA is $68.40, according to ZipRecruiter salary data. Most workers in this role earn between $56.06 and $77.40 per hour, depending on experience, location, and employer.

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

AspectWeekend Performance EngineerWeekend Network Engineer
Primary FocusSystem performance, application optimization, and server efficiencyNetwork infrastructure, connectivity, and network security
Required SkillsPerformance testing, troubleshooting, server managementNetwork protocols, hardware setup, troubleshooting network issues
CertificationsPerformance-related certifications (e.g., AWS, Linux)Network certifications (e.g., Cisco CCNA, CompTIA Network+)
Work EnvironmentData centers, cloud environments, IT departmentsNetwork operation centers, enterprise IT settings

The Weekend Performance Engineer and Weekend Network Engineer roles share similarities in working during weekends and requiring technical certifications. However, the Performance Engineer focuses on optimizing system and application performance, while the Network Engineer specializes in maintaining and troubleshooting network infrastructure. Both roles are essential in IT operations but serve different technical domains.

What are the most commonly searched types of Performance Engineer jobs in Seattle, WA? The most popular types of Performance Engineer jobs in Seattle, WA are:
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What cities near Seattle, WA are hiring for Weekend Performance Engineer jobs? Cities near Seattle, WA with the most Weekend Performance Engineer job openings:
Weekend Performance Engineer jobs near you
Software Dev Engineer, EC2 Nitro

Software Dev Engineer, EC2 Nitro

Amazon

Seattle, WA

$159.30K/yr

Full-time

Posted 14 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,784 frontline employees who took The Breakroom Quiz

7th of 39 rated national retailers

Job description

Join the EC2 Nitro Machine Learning Systems team to revolutionize accelerated computing in the cloud. We're seeking an exceptional Software Development Engineer to build and optimize the performance measurement infrastructure for some of the most computationally intensive AI/ML workloads on AWS. In this role, you'll establish EC2 as the definitive source for best-known-configurations across diverse ML applications including LLMs, multimodal models, and video generation workloads.

Your expertise will directly influence future platform designs by translating performance insights from state of the art research and customer workloads into technical requirements for upcoming accelerated platform launches.
Your impact will extend from low-level systems (CUDA, EFA, firmware) through ML frameworks to serving layers, requiring deep technical knowledge and the ability to communicate complex performance data as actionable business insights. This position offers the unique opportunity to shape the future of machine learning infrastructure at cloud scale while working at the intersection of high-performance computing, distributed systems, and machine learning technologies.
Key job responsibilities
- Design and build foundational infrastructure for ML performance measurement that scales with business demand and operates as reliable CI/CD systems, ensuring high-quality implementations that balance customer requirements with operational excellence
- Develop comprehensive regression test coverage across all major component releases including frameworks, firmware, drivers, and networking technologies to maintain optimal platform performance
- Collaborate with cross-functional teams to establish EC2 as the definitive source for best-known-configurations across diverse ML applications including LLMs, multimodal models, and MoE architectures
- Document and communicate performance insights to influence future platform designs by translating technical findings from research and customer workloads into actionable recommendations
- Identify and resolve complex performance challenges through systematic analysis of training and inference performance KPIs across accelerated platforms, working directly with customers to improve their ML system efficiency
A day in the life
Your typical day begins with reviewing performance data from overnight benchmark runs across various ML frameworks and hardware configurations. You'll investigate anomalies, collaborate with the team on optimization opportunities, and join design reviews to influence future platform capabilities

You'll balance your time between building measurement infrastructure, analyzing performance trends, and documenting best practices to help customers optimize their workloads.
About the team
The EC2 Nitro Machine Learning Systems team is responsible for development, operations, and maintenance of scale-out machine learning platforms used for training and inference workloads. We build and optimize the infrastructure that powers some of the most computationally intensive AI/ML workloads in the cloud. Our team is passionate about creating reliable, high-performance systems that enable customers to push the boundaries of what's possible with machine learning.
Working with us means having the opportunity to influence the future of supercomputing in the cloud while solving complex technical challenges at massive scale

We collaborate closely with customers and internal teams to continuously improve our platforms and deliver innovations that accelerate machine learning workflows.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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