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Executive Supercomputer Jobs (NOW HIRING)

Your work will directly influence product management, marketing, and executive decision-making by ... Working with us means having the opportunity to influence the future of supercomputing in the cloud ...

Lead Technical Program Manager

O Fallon, MO · On-site

$120K - $156K/yr

The platform leverages supercomputing, advanced business rules, AI/ML technologies, agentic AI ... Translate complex technical and financial concepts into clear, executive ready insights for ...

We are pushing past the limits of classical physics and current supercomputing technology to unlock ... In this role, you will align executive leadership, product, and go-to-market teams around a unified ...

... make smartphones, supercomputers, virtual reality headsets, autonomous vehicles and more ... The role will have exposure to executive level corporate and Account Team Management and will ...

Head of Editorial

New York, NY · On-site

$200K - $400K/yr

Fluidstack is building data centers and deploying supercomputers faster than anyone, for the people ... Role Scope * Own all written output published under the Fluidstack name: blog posts, executive ...

EPI BM Head

Santa Clara, CA · On-site

$224K - $308K/yr

... make smartphones, supercomputers, virtual reality headsets, autonomous vehicles and more ... The role will have exposure to executive level corporate and Account Team Management and will ...

... executive leadership, to align on project expectations and streamline workflows. * Develop ... Expertise in high-performance computing facilities, such as supercomputer deployments or AI ...

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Executive Supercomputer information

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$26.5K

$93.6K

$184K

How much do executive supercomputer jobs pay per year?

As of Jun 28, 2026, the average yearly pay for executive supercomputer in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Supercomputer jobs? The most popular types of Supercomputer jobs are:
What states have the most Executive Supercomputer jobs? States with the most job openings for Executive Supercomputer jobs include:
Software Development Manager , EC2 Nitro

Software Development Manager , EC2 Nitro

Amazon

Seattle, WA

$140K - $185K/yr

Full-time

Posted 11 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,908 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Join our EC2 Nitro Machine Learning Systems team to lead a pivotal performance engineering group at the intersection of state of the art ML research and production-scale infrastructure. You'll build and manage a team focused on establishing EC2 as the definitive source for ML performance optimization across diverse workloads including LLMs, multimodal models, and next-generation AI applications. Your work will directly influence product management, marketing, and executive decision-making by delivering comprehensive performance data and best practices for AWS's accelerated computing platforms.
This role spans the full ML systems stack-from low-level CUDA optimization and accelerator firmware through frameworks to serving layers-requiring both technical depth and strategic vision

You'll translate performance insights into platform design recommendations that shape future AWS hardware, while simultaneously establishing foundational benchmarking infrastructure that scales with rapidly evolving customer demands.
Key job responsibilities
- Lead the design, implementation, and delivery of foundational ML performance measurement infrastructure that operates as reliable CI/CD systems across diverse accelerator platforms
- Build and nurture a high-performing engineering team focused on establishing EC2's source for ML performance best-known-configurations
- Drive architectural decisions that influence future platform design by feeding insights from state-of-the-art research and customer workloads into accelerated platform launches
- Develop comprehensive regression coverage across all major component releases including frameworks, firmware, drivers, and networking components
- Establish mechanisms to scale performance engineering practices from current LLM focus to multimodal models, Mixture-of-Experts architectures, and emerging AI application domains
A day in the life
Your day involves strategic context-switching across multiple domains. You might start the morning diving deep into CI/CD triage of performance regressions, transition to product management calls where you translate technical insights into business value, then finish by collaborating with platform architects to shape next-generation hardware requirements. You serve as the connective tissue between ML research, platform engineering, customer needs, and business strategy-requiring exceptional translation skills to convert technical performance data into actionable business insights and platform improvements.
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.


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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