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Overnight Regression Jobs (NOW HIRING)

... regression test coverage across all major component releases including frameworks, firmware ... overnight benchmark runs across various ML frameworks and hardware configurations. You'll ...

Develops, defines, and reviews test plans and scripts for functional, performance, regression, and ... Typically requires overnight travel less than 10% of the time. Education and Experience * Typically ...

Software Dev Engineer, EC2 Nitro

Seattle, WA · On-site

$159K/yr

... regression test coverage across all major component releases including frameworks, firmware ... overnight benchmark runs across various ML frameworks and hardware configurations. You'll ...

Software Dev Engineer, EC2 Nitro

Seattle, WA · On-site

$159K/yr

... regression test coverage across all major component releases including frameworks, firmware ... overnight benchmark runs across various ML frameworks and hardware configurations. You'll ...

Software Dev Engineer, EC2 Nitro

Seattle, WA · On-site

$159K/yr

... regression test coverage across all major component releases including frameworks, firmware ... overnight benchmark runs across various ML frameworks and hardware configurations. You'll ...

Theoretical and Practical knowledge in developing regression, classification, and time-series ... Typically requires overnight travel less than 10% of the time. Education and Experience * Typically ...

Develop and execute test plans, test cases, and test scripts for functional, regression ... Less than 10% * Overnight/North America: Less than 10% Working Conditions * Office Environment ...

Develop and execute test plans, test cases, and test scripts for functional, regression ... Less than 10% * Overnight/North America: Less than 10% Working Conditions * Office Environment ...

Theoretical and Practical knowledge in developing regression, classification, and time-series ... Typically requires overnight travel less than 10% of the time. Education and Experience * Typically ...

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Overnight Regression information

What are the most commonly searched types of Regression jobs? The most popular types of Regression jobs are:
Infographic showing various Overnight Regression job openings in the United States as of June 2026, with employment types broken down into 20% Full Time, 78% Part Time, and 2% Temporary. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.
Software Dev Engineer, EC2 Nitro

Software Dev Engineer, EC2 Nitro

Amazon

Seattle, WA

$159K/yr

Full-time

Posted 25 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,828 frontline employees who took The Breakroom Quiz

6th 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
EC2 Nitro Machine Learning Systems is responsible for development, operations, and maintenance of ML platforms for training and inference. We build and optimize infrastructure that powers some of the most computationally intensive AI/ML workloads. Our team creates reliable, high-performance systems that enable customers to push the boundaries of what's possible with ML.
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