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System Engineer, Graviton Team

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

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • The posting mentions AWS Graviton, systems engineering and debugging among its tools and skills.
  • Level classes it as a mid-level role.
  • Amazon has 20,000+ other open roles on Level.

AI in this role

Lead triage, debugging, and root cause analysis of AWS Graviton server systems in data centers.

AWS Graviton
systems-engineeringdebuggingtroubleshootinghardwaresoftware
Annapurna Labs is the team behind AWS (Amazon Web Services) Graviton — the industry's most advanced Arm-based server CPU — and we operate like a start-up with the scale of the world's largest cloud provider.

Our Graviton System group owns the design, manufacturing, and health of the Arm-based server fleet powering Amazon EC2 (Elastic Compute Cloud). We work close to the metal — across firmware, board bring-up, diagnostics, and hardware debug — to keep servers running and return failed units to production fast. In close partnership with design partners, data center operations, and hardware engineering teams, we bring new server platforms into the fleet and drive them to launch faster, healthier, and more reliably, at a scale that directly impacts millions of customers around the world.
If you are a systems, HW, or SW engineer who thrives on hard problems at the intersection of hardware and software, enjoys root-causing failures on real servers, and wants to see your work make a measurable difference across a global fleet — we would love to talk.

We're looking for a System Engineer with Software or Hardware Engineering background to be part of defining, shaping and integrating solutions to next generation of our cloud platforms.

We are looking for an exceptional engineer to own the development, testing, and monitoring of the manufacturing health of Amazon Graviton server products. You will be part of a team integrating new silicon, hardware, firmware, and software into a revolutionary system architecture.

Key job responsibilities
• Lead triage, debugging, and root cause analysis of systems in AWS data centers
• Enhance troubleshooting capabilities and drive closure of in-fleet problems
• Analyze customer workflows and requirements to provide targeted resolutions
• Collaborate with Annapurna Labs monitoring team and root cause teams to improve product quality and reliability in fleet operations
• Represent the customer voice by providing fleet operation insights and requirements to Annapurna Labs' ASIC design, software development, QA, and architecture teams
• Develop and maintain training materials, quality documentation, and collateral to improve in-fleet operations
• Design and implement tools and scripts to support projects and customize solutions based on requirements
• Travel as needed, approximately 2-4 times per year

Basic qualifications

- Bachelor's degree in Electrical Engineering, Computer Engineering, Systems Engineering, or related fields
- Knowledge of scripting languages (bash, python, etc.)
- 8+ years of experience as System Engineer; experience working with systems, including software, firmware, and hardware components

Preferred qualifications

- Computer architecture knowledge
- High-speed interfaces knowledge and debug capabilities- PCIe, Ethernet, DDR etc.
- Experience with server (x86 / ARM) design or architecture.
- Experience with operating systems, networking, and remote debugging.

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

System Engineer, Graviton Team at Amazon rates 10 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.

  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

Systems EngineeringDebuggingTroubleshootingHardwareSoftwareAWS Graviton

Questions you could be asked

  1. Tell me about a project where systems engineering was part of your work. What did you do?
  2. Tell me about a project where debugging was part of your work. What did you do?
  3. Tell me about a project where troubleshooting was part of your work. What did you do?
  4. Tell me about a project where hardware was part of your work. What did you do?
  5. Tell me about a project where software was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Systems Engineering, Debugging, Troubleshooting, Hardware, and Software. 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.

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