Real, anonymous reports from people who interviewed for Software Engineer at Amazon Robotics, newest first and distilled into what to expect across the loop.
My process was structured and leaned heavily on Amazon Leadership Principles, with STAR-based behavioral questions plus deeper technical follow-ups after explaining my projects.
I had a generally easy, discussion-like interview experience where the process quickly moved from brief intro into behavioral/LP questions and one straightforward coding task.
Candidates typically start with an online assessment that includes coding questions, often LeetCode-style, which can vary in difficulty from simple to medium-hard. It's essential to prepare for both coding and Leadership Principle prompts within this assessment.
Interviews heavily emphasize Amazon's Leadership Principles, requiring candidates to provide structured STAR responses to behavioral questions that relate to their past experiences. Expect probing follow-up questions to assess depth and clarity.
Candidates will face multiple technical interviews that may include live coding tasks, system design questions, and discussions around engineering principles. Be prepared for both coding challenges and technical depth discussions.
The interview process is generally structured with a quick progression from the OA to live interviews, often including multiple rounds in a single day. Candidates should be ready for a mix of behavioral and technical assessments throughout the process.
The difficulty of the interviews can vary, with some candidates reporting a manageable experience while others found it demanding, particularly in terms of technical depth and the need for a broad range of STAR stories. Candidates should prepare thoroughly for both technical and behavioral components.
Many candidates did not receive offers, often citing the need for better alignment with Amazon's operational focus and leadership expectations. It’s crucial to demonstrate both technical skills and a strong understanding of how to apply Leadership Principles in practical scenarios.
