Staff Engineer applicants have rated the interview process at Marvell Technology with 3.1 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 88% positive. To compare, the company-average is 58.9% positive. This is according to Glassdoor user ratings.
Candidates applying for Staff Engineer roles take an average of 14 days to get hired, when considering 8 user submitted interviews for this role. To compare, the hiring process at Marvell Technology overall takes an average of 20 days.
Common stages of the interview process at Marvell Technology as a Staff Engineer according to 8 Glassdoor interviews include:
Phone interview: 19%
One on one interview: 15%
Presentation: 15%
Background check: 12%
Drug test: 12%
IQ intelligence test: 8%
Group panel interview: 8%
Skills test: 8%
Personality test: 4%
Here are the most commonly searched roles for interview reports -
I applied online. I interviewed at Marvell Technology (Pune) in Dec 2025
Interview
In my interview experience with this company, I found the interviewers lacking in professionalism and respect toward candidates.
The most negative aspects included repeatedly cutting candidates off mid-answer, aggressively insisting that their preferred solution was the only correct approach to problems, and displaying insufficient maturity to objectively evaluate or acknowledge alternative, equally valid technical solutions.
Interview questions [1]
Question 1
Write a constraint for incr transaction with 4k boundary address aligned
3 technical rounds, 1 Manager level discussion and an Hr round. All were 1hrs each. Technical round was difficult. SV UVM basics, constraints, problem solving checking questions, digital and design basics.
Interview questions [1]
Question 1
For verification profile, design aspects are also well focused.
I applied through an employee referral. I interviewed at Marvell Technology (Bengaluru) in Apr 2022
Interview
Great Experience in interviews and onboarding experience. Interviewers check your knowledge and skills to a great extent. Thorough knowledge is required to clear the same.
HRs specially Jahrna and Madhuri help a lot in this process. This helps a lot in smoothing out this process.
Interview questions [1]
Question 1
C++ Oops Development
Graphs, Tree Traversal
Strings and Linked List Related Question
Machine Learning Concepts (mostly theoritical)