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Verification Engineer, Graviton Team

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

Level's read on this job

  • Level rates this role Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include SystemVerilog, UVM and Tlm.
  • Level classifies it as a senior role.
  • Level lists 20,000+ other open roles at Amazon.

AI in this role

Lead pre-silicon verification for AWS Graviton server SoCs utilizing agentic AI workflows.

SystemVerilogUVMTlmPerlBashTclPython
rtl-verificationhardware-verificationsocagentic-ai
Annapurna Labs, is the team behind AWS Graviton- the industry's most advanced ARM-based server SoC.
We operate like a start-up with the scale of the world's largest cloud provider.

We're looking for exceptional engineers to join our Pre-Silicon Verification team - the team that sits at the very center of the chip development lifecycle. Verification at Annapurna Labs isn't a downstream checkpoint - it's the connective tissue that spans the entire product journey:
• It starts at product definition - we engage from day one, shaping requirements and translating product intent into verification strategies before a single line of RTL is written
• It extends into software - we work side-by-side with SW teams, verifying hardware-software interfaces and ensuring seamless integration across the stack
• It reaches into physical design - we verify physical design aspects within functional verification, bridging the gap between logical correctness and silicon reality
• It closes the loop - from spec to silicon, our verification touches every team and every stage of chip development
What sets us apart:
• Agentic AI is embedded in our workflow - not as an experiment, but as a core part of how we design and verify chips
• Cutting-edge methodologies drive every stage of our verification process
• Relentless innovation - we don't settle; we actively seek new approaches that raise the bar on silicon quality
• We do classic functional verification(SV/UVM/TLM), but beyond that, we touch physical design aspects, to ensure that the quality of our silicon is beyond logical functionality.
• Performance optimization at all levels it is at the heart of our targets on top of logical correctness verification.
If you want to be at the nerve center of chip development - where your work connects every discipline and powers the backbone of AWS Graviton - this is your team.

Basic qualifications

- Electrical/Computer Science engineer
- 5+ years of experience with RTL verification
- Knowledge of Hardware Verification concepts and tools (UVM , Coverage Driven verification),
- Sound understanding and knowledge of object-oriented programming concepts, Verilog/SystemVerilog/Specman

Preferred qualifications

- Knowledge of the following programming languages: Perl/Bash/TCl/Python/
- Knowledge of PCIe, Processors, Ethernet, DDR

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.

How we rate this

Verification Engineer, Graviton Team at Amazon rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  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. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Rtl VerificationHardware VerificationSocAgentic AISystemVerilogUVMTlmPerl

Questions you could be asked

  1. Tell me about a project where rtl verification was part of your work. What did you do?
  2. Tell me about a project where hardware verification was part of your work. What did you do?
  3. Tell me about a project where soc was part of your work. What did you do?
  4. Tell me about a project where agentic ai was part of your work. What did you do?
  5. Walk me through how you've used SystemVerilog in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Rtl Verification, Hardware Verification, Soc, Agentic AI, and SystemVerilog. 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.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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