Annapurna Labs seeks an Experienced System Integration Engineer to define and integrate cutting-edge solutions for our next-generation cloud platforms.
In this role, you will own interface strategy and ensure design effectiveness. You will drive complex system debugging across hardware, firmware, and software components, leading teams to raise quality standards and deliver exceptional products for Amazon customers. Throughout this work, you will collaborate with technology thought leaders across multiple disciplines.
This position demands high standards and continuous improvement in performance, quality, cost, and reliability of AWS products. We are transforming the industry and need engineers ready to push beyond today's limitations. The role offers fast-paced, intellectually challenging work with a broad technical scope and impact, providing an opportunity to shape next-generation cloud infrastructure.

• Key job responsibilities
• Define and lead new product validation strategies while supporting ongoing integrations
• Monitor and improve operational excellence for the networking and control plane interfaces you own
• Lead triage, debugging, and root cause analysis of systems in AWS data centers
• Serve as the customer voice by providing Annapurna Labs' board design, software development, quality assurance, and architecture teams with critical information and requirements from fleet operation perspectives
• A day in the life
• 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
• 5+ years of hardware design experience or functional/electrical validation, debugging, application, or system engineering
• 3+ years of experience with integrated systems, including software, firmware, and hardware components
• Knowledge of networking and control plane interfaces with debugging capabilities
• Basic scripting skills in Python, Bash etc.

Preferred Qualifications

• Large-scale data analysis
• Experience with server design and compute systems architecture.
• Experience with operating systems, boot loaders, networking, and remote debugging.
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