Verification Engineer, Nitro Team

Amazon is hiring a Verification Engineer, Nitro Team in Haifa, Israel. Level rates it ; you can apply on Amazon.

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Level rates this role Little AI ●○○○: aI is not part of the work.
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AI in this role

Annapurna Labs is the team behind AWS Nitro, the purpose-built system that powers the security, performance, and innovation of every EC2 instance. We operate like a start-up with the scale of the world's largest cloud provider.

We are looking for talented engineers to join the Pre-silicon Verification team and help us technically lead the challenges of the next decade, developing a semiconductor platform based on revolutionary architecture, and taking part in the development of cutting-edge products within a disruptive system architecture.
You’ll have the opportunity to work on the technologies that power the world’s largest cloud provider, in a dynamic, open, and fast-paced environment.

Learn more about Annapurna Labs and the Nitro project:
AWS re:Invent 2025 - Keynote with Peter DeSantis and Dave Brown: https://www.youtube.com/watch?v=JeUpUK0nhC0
AWS re:Invent 2025 - Deep Dive into the AWS Nitro System: https://www.youtube.com/watch?v=cD1mNQ9YbeA

Basic qualifications

- Understanding of object-oriented programming concepts
- Knowledge of Verilog/SystemVerilog/Specman

Preferred qualifications

- Familiarity with hardware verification concepts and tools (UVM , Coverage Driven verification)
- Experience with at least one scripting language (Python, Perl, Bash, or Tcl)
- Knowledge of PCIe, Processors, Ethernet, DDR

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How we rate this

Verification Engineer, Nitro Team at Amazon rates 29 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● 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.