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Does school ranking matter if neither schools are highly ranked for CS?
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I do tech screens at Google. AMA
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Had the option for either recently. Nvidia will be non-ML, more infra work whereas Tesla is heavily data-science focused and entails an ML project. Both are for the Bay Area (Santa Clara vs Palo Alto). Don’t really care about location or compensation right now. Graduating next year (undergrad) and wanted to know what would look better on a resume as well as which is a better full time option. Am considering type of work plus company image/wlb, heavily leaning toward Nvidia currently. In the future, hoping to center my work around either back-end distributed systems, or ML/DS if the opportunity is good. Want to know if I’m making the right choice, thanks for any insight. TC: 0, student
No equity?
just put some pseudo numbers, tc was a required field
Id rather work at Nvidia and eventually find an ML opening vs working at Tesla doing ML out the gate.
I’d easily take NVIDIA and transfer internally if you so desire. From what I read, it isn’t uncommon at NVIDIA
Transferring internally is pretty hard at Nvidia given that you have to inform your current manager before starting any formal conversations with the teams you are interested in. Wouldn't recommend You'll also have to go through the entire interview process for the new team/s
Same
Why TC is so low
It’s just fake numbers to appease blind. OP mentioned they don’t care about comp.
Unpopular opinion: as someone that started as SWE (wanted ml roles but didn’t get any) and worked crazy hard to transition to scientist/ML roles later (masters only, no PhD), it was very difficult! I would’ve loved to have the option to start off with ML role in my career. However, I am grateful for the 2 years of experience as a SWE even though at the time I saw it as not useful or extremely boring.
it's very easy to get ML roles at meta though
Maybe. I was at amazon and had to make the SWE to Applied scientist transition which was so difficult without a PhD and less than 2 yoe. But if not for that, I don’t think meta would have offered me an ML role? This was 5-7 years ago though so things are prob different now
ML experience. I would hire someone in a ML role if they have ML experience. I wouldn’t consider an infra engineer for a ML role. If ML is where you want to be, go to Tesla!
Tesla just cause of ml. It’s way more toxic due to Elon but you get the ml on your CV
NVDA and transfer internally to ML team later, it's quite standard I hear
It’s available but transferring from infra to ml is difficult. At least the skills have to be similar to switch teams. I would suggest to suffer through 2y of elons shit, get ml on cv and then jump to any other company
Data engineering is a trap, you'll end up toiling with buggy pipelines. It's better to be a SWE and lean into ML.
100% Nvidia