Senior Software Development Engineer, EC2 Nitro

Amazon is hiring a Senior Software Development Engineer, EC2 Nitro in Seattle, United States. It pays $168k-$227k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Uses AI ●●○○ is how Level rates this software engineer role: an ordinary role that requires AI tools.
Pay on this posting starts in line with the typical software engineer posting on Level.
The posting mentions C, Rust and virtualization among its tools and skills.
Level classes it as a senior role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Lead software development for EC2 compute platforms supporting large-scale machine learning workloads and LLMs.

CRust

virtualizationcloud-computingmachine-learning-infrastructurecluster-management

EC2 Nitro drives the planet’s largest, fastest growing and most feature-rich compute cloud. Nitro is AWS ground-up design for virtualization at global scale built on a fully custom stack of hardware, firmware and applications. Nitro has enabled EC2 to support Intel, AMD and Amazon’s custom silicon - the Graviton processor family - while raising the industry bar for security and performance across our product line.

We integrate hardware, firmware, application software and services to deliver new virtualized and bare-metal compute platforms for companies from startups through the Fortune 500. We are looking for an experienced leader to drive software development and scaling for new EC2 compute platforms. In this role, you will work with a broad and deep group of technical teams that develop hardware, firmware, systems and application software.

The ideal candidate is expected to have solid understanding of computer science fundamentals, and expertise in C, C++ or Rust development in a Linux environment. Experience with Linux package management, version control systems, automated build processes, and software unit testing are required. In-depth knowledge of ML frameworks and cluster management is highly preferred.

Key job responsibilities
- Design and develop innovative technologies that power the infrastructure supporting machine learning workloads on Ultraservers
- Lead technical projects establishing EC2 as the pioneer in cloud computing for ML workloads across diverse applications including LLMs, multimodal systems, and emerging model architectures.
- Develop and maintain comprehensive regression testing systems that validate performance across major component releases including frameworks, firmware, drivers, and networking infrastructure.
- Collaborate with hardware engineering teams to influence future platform designs based on performance insights gathered from state-of-the-art research and customer workloads.
- Build customer relationships by investigating complex performance challenges, developing solutions, and publishing actionable best practices through multiple channels.

About the team
The EC2 Machine Learning Supercompute team develops next generation Ultraserver platforms to power high-performance training and inference workloads.

Basic qualifications

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

Preferred qualifications

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience in embedded development in C/C++

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The 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 (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually

How we rate this

Senior Software Development Engineer, EC2 Nitro at Amazon rates 55 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Software Development Engineer, EC2 Nitro is an open job at Amazon.
Level rates this role AI Level 2 of 4: Uses AI.
The listed salary is $168k-$227k a year.
The role is based in US, WA, Seattle.
The job was posted on April 20, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

VirtualizationCloud ComputingMachine Learning InfrastructureCluster ManagementCRust

Also common in software engineer jobs at this level

Python Java TypeScript React Kubernetes JavaScript

Pay

This job starts at: $168k
Typical software engineer job: $167k

This posting starts close to the typical software engineer job. See software engineer jobs

Questions you could be asked

Tell me about a project where virtualization was part of your work. What did you do?
Tell me about a project where cloud computing was part of your work. What did you do?
Tell me about a project where machine learning infrastructure was part of your work. What did you do?
Tell me about a project where cluster management was part of your work. What did you do?
Walk me through how you've used C in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Virtualization, Cloud Computing, Machine Learning Infrastructure, Cluster Management, and C. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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