Software Engineer New Grad Interview Experience
November 13, 2020
Positive ExperienceNo Offer
Process
First I had the recruiter call where they informed me about what the company does, the interview process, and a little about the role.
Followed by a phone screen where the engineer asked about a mix of general ML and a data structure question, then an onsite (didn't do it yet).
Questions
- General ML questions: how to detect and fix overfitting, what is cross-entropy loss, what is F1 score.
- How to remove duplicates from a list while keeping the same order of the elements.
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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
0%
Pass Rate
SambaNova's interview process for their Software Engineer New Grad roles is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive67%
Neutral17%
Negative17%
Candidates reported having very good feelings for SambaNova's Software Engineer New Grad interview process.
SambaNova Work Experiences
5.0
Great leadership, but pay needs improvement
Software Engineer • Current Employee
Palo Alto, CA
September 17, 2026
Pros: Great leadership and a clear vision
Cons: Pay is not good compared to others, and there is no liquidity.
4.0
Interesting problems to solve, but tough work-life balance
Software Engineer • Current Employee
San Jose, CA
April 30, 2026
Pros: Lots of opportunities to work on hard, interesting problems.
Cons: It can be hard to balance life and work.
3.0
Engaging AI work but hardware viability is questionable
Engineer • Former Employee
Palo Alto, CA
May 30, 2026
Pros: 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.
- 5.0Great 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.
- 4.0Interesting problems to solve, but tough work-life balanceSoftware Engineer • Current EmployeeSan Jose, CAApril 30, 2026Pros: Lots of opportunities to work on hard, interesting problems.Cons: It can be hard to balance life and work.
- 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.
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