Level

Amazon

Senior Software Dev Engineer, EC2 Nitro, EC2 Nitro

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

AI in this role

Drive development for new EC2 machine learning platforms optimized for high-performance training and inference workloads.

crustlinux
machine-learningcluster-managementvirtualizationsoftware-engineering
The EC2 Nitro platform powers the world’s largest, fastest-growing, and most feature-rich cloud computing environment. Designed by AWS from the ground up, 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.

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.

About the team
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

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

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 Dev Engineer, EC2 Nitro, EC2 Nitro at Amazon rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

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

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Machine learningCluster ManagementVirtualizationSoftware EngineeringCRustLinux

Questions you could be asked

  1. Tell me about a project where machine learning was part of your work. What did you do?
  2. Tell me about a project where cluster management was part of your work. What did you do?
  3. Tell me about a project where virtualization was part of your work. What did you do?
  4. Tell me about a project where software engineering was part of your work. What did you do?
  5. Walk me through how you've used C in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Machine learning, Cluster Management, Virtualization, Software Engineering, 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.
  • Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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