Annapurna Labs, part of AWS, seeks a Nitro Integration Engineer to scale and simplify Nitro hardware integration across manufacturing and data center environments.
You will design tools, automation, and standardized integration flows that make Nitro integration reliable, repeatable, and scalable. Your work will enable internal teams and partners to integrate Nitro hardware efficiently while maintaining quality and consistency.
Working across hardware, firmware, software, manufacturing, and operations teams, you will transform complex integration challenges into robust, production-ready solutions.

• Key job responsibilities
• Design and maintain self-service tools for Nitro card integration, validation, and health monitoring.
• Enable customers to independently configure RAMDisk, enable K2, and perform validation tasks.
• Create intuitive, reliable workflows with clear documentation for self-service Nitro integration.
• Identify friction points and improve tooling, processes, and system design.
• Ensure self-service features maintain quality parity with managed processes.
• Implement metrics and monitoring to track adoption and performance.
• Resolve technical escalations for self-service tool issues.
• Develop strategies to increase customer autonomy while reducing operational load.
  About the team
  For more details about our product:
• AWS re:Invent 2024 - Keynote with Peter Desantis: https://www.youtube.com/watch?v=vx36tyJ47ps
• Deep dive on the AWS Nitro System: https://www.youtube.com/watch?v=jAaqfeyvvSE
• The Nitro System Architecture: https://www.youtube.com/watch?v=02EbskIXCOc

Basic Qualifications

• Bachelor's degree in electrical engineering, computer engineering, or equivalent.
• At least 8 years Design / Integration / HW System engineering experience in at least one area
• HW / FW / SW.
• 3+ years of experience working with complex systems, including their software, firmware, and hardware components.
• Basic skills in scripting: Python / Bash etc.

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, boot loaders, networking, and remote debugging.
• Experience in big data analysis.
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