Basé sur des situations, utiliser le modèle STAR dans les réponses 1. Décrire une situation où lors d'un travail en groupe tu as du faire face à un problème. 2. Décrire une situation où vous avez du relever un défi 3. décrire une situation où vous avez du motiver quelqu'un 4. Décrire une situation où vous avez du prendre le leadership 5. Décrire une situation où vous avez reçu un feedback négatif
Tell me about yourself. and Questions related to past experience.
Why are you interested in working at Tesla?
What does "excellence" mean to you?
Technical questions relating to the job to the point I felt I was being asked for the equation.
Share an example of how you were able to motivate a coworker, your peers or your team.
Questions about previous working experience Qualifications that make you a great fit for the role Why would you want to work for this company etc
Difference between OFAT and fractional factorial DOE process( situation based), when to use which method, was asked to explain a DOE I conducted in detail and my thought process, which has more bias repetition or replication, example of response bias in a study I did, example of correlation study I did, how do I validate a DOE result( explained with ANOVA, regression model coefficient and R2, R2(adj) diff , VIF), how to conduct gage R&R, ndc in gage R&R, ndc of 1 meaning, if ndc < 5 is my measurement system bad, what does a ndc of < 5 mean for sample size, what is Cp/Cpk, when to use Cpm, asked to choose a process to deep dive based on Cp/Cpk values, when to use Pp/Ppk vs Cp/Cpk, can Cp be (-) ve, why not, experience with reliability testing, experience with surface finish, how to measure quantify surface roughness, cosmetic characteristics experience with a part, when to use t test, Chi square test questions, questions on datum selection, usage of positional/ profile tolerances, what is LMC, MMC modifier, calculating boundary conditions for hole and shaft mating, usage of I-MR chart, when to use X bar and X bar S chart, how to segregate data from a process to root cause common cause vs assignable cause. From projects- Asked about a machine availability improvement project, a project where I improved cycle time for a machine, a tolerance stack up project to come up with spec limits for a process, a DOE project- explain the process, what parameters I took, why, how I decided the parameter values, every nitty gritty, a vision project using a 3d profilometer - how I optimized program, what defects I was looking to catch, an X-Ray algorithm improvement project- asked to explain failure mode, issue with algorithm, how I changed spec, what was the impact on yield, how did I communicate idea to design team, question on part traceability from a project, experience with CMM/ stylus probes, experience with Helium leak test, questions on electrolyte filling process development for battery cells. Since I had experience with data engineering asked a ton of questions on how I set up a parameter, how I categorize as optional/ non optional, how I add constraints for NCs, they were curious on how I made SQL scripts for our process techs for root causing, asked about experience with Tableau dashboards.
I don't remember a single question. I don't think this was a serious interview.
What leadership roles have you held in the past
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