Process
I applied online.
The process is smooth. Discussed past internship and research experience, followed by one coding question. The questions were very in detail, the interviewer asked many details about deep learning questions.
For example:
- what is adam optimizer
- what is transformers (explain in detail)
- what is the difference between Pytorch and Tensorflow
The coding question is easy, but need to optimize the code. I didn't have in-depth knowledge and experience in deep learning and natural language processing, so I think that's why I failed.
Questions
What is Adam optimizer (the logic behind it)?
What is transformers (explain in detail)?
What is the difference between PyTorch and TensorFlow (when to use)?
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Interview Statistics
The following metrics were computed from 12 interview experiences for the SambaNova Software Engineer New Grad role.
Success Rate
SambaNova's interview process for their Software Engineer New Grad roles is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having very good feelings for SambaNova's Software Engineer New Grad interview process.
SambaNova Work Experiences
- 3.0Engaging AI work but hardware viability is questionableEngineer • Former EmployeePalo Alto, CAMay 30, 2026Pros: Very fun and topical skill building to work on applied AI.Cons: The viability of a fundamental hardware product to compete with NVIDIA is low.
- 5.0Intelligent team, but limited career growth opportunitiesHardware Engineer • Former EmployeePalo Alto, CAAugust 13, 2026Pros: A very intelligent team that is best in class.Cons: Poor long-term career growth structuring
- 5.0Great leadership, but pay needs improvementSoftware Engineer • Current EmployeePalo Alto, CASeptember 17, 2026Pros: Great leadership and a clear visionCons: Pay is not good compared to others, and there is no liquidity.
