
Amazon
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.
Step into this interview
Free · a live voice mock calibrated to this exact role
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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