Software Dev Engineer, ECNitro, ECNitro
Listed on 2026-02-16
-
Software Development
Machine Learning/ ML Engineer, AI Engineer, Software Engineer, Data Scientist
Overview
The EC2 Nitro platform powers the world’s largest, fastest-growing, and most feature-rich cloud computing environment. Nitro leverages a fully customized stack of hardware, firmware, and software to deliver unparalleled virtualization at a global scale. Within the EC2 Nitro organization, the MLS team is tasked with developing the next generation of EC2 Supercomputers, optimized for high-performance training and inference workloads. We are looking for an experienced software engineer to drive development for new EC2 machine learning platforms.
In this role, the engineer will work with a broad and deep group of technical teams that develop hardware, firmware, systems and application software, etc.
• Drive development for new EC2 machine learning platforms.
• Collaborate with teams that develop hardware, firmware, systems and application software to deliver integrated solutions for high-performance ML workloads.
Qualifications- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture experience (design patterns, reliability and scaling) of new and existing systems
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using C#, C++, Java, or Perl
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Knowledge of computer architecture, operating systems, and parallel computing
- Experience with Linux package management, version control systems, automated build processes, and software unit testing
- In-depth knowledge of ML frameworks and cluster management is highly preferred
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate. We value diverse experiences and encourage candidates to apply even if they do not meet all preferred qualifications. We strive for work-life balance and ongoing mentorship and career growth opportunities. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Inclusivityand accommodations
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit the information page on accommodations or contact your Recruiting Partner if the country/region you’re applying in isn’t listed.
Compensation and BenefitsThe base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at the Amazon careers site.
USA, WA, Seattle - - USD annually
#J-18808-Ljbffr(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).