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New grad

Entry-level SDE role building ML accelerator tooling on Amazon's Annapurna Labs team

SDE I opening on the same Annapurna Labs / AWS Neuron team building profiling and resource-management tooling for ML workloads on Inferentia and Trainium accelerators, but this requisition's qualifications read as an early-career bar: general-purpose programming languages, data structures/basic algorithm development, and object-oriented design, with internships and project experience called out as the preferred path rather than assumed prior industry work.

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Likely format

Amazon new-grad SDE loop: typically an online assessment, then phone/virtual interviews covering coding fundamentals and Leadership Principles.

What this interview tests

  • Data structures, algorithms, and object-oriented design fundamentals
  • General-purpose programming language proficiency (Java plus Go/Python/TypeScript)
  • Internship or project experience with cloud platforms and databases (SQL/NoSQL)
  • Git and CI/CD basics
  • Exposure to distributed systems or big-data concepts (nice-to-have, not required)

Common question themes

Data structures and algorithms coding problem

Explain an object-oriented design decision from a past project

Describe an internship or class project involving cloud services or databases

Basic version control / CI workflow questions

Amazon Leadership Principles behavioral questions calibrated to entry-level scope

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