Or is it just a term made up to find an easier reason to reject job applicants?


So it looks like the consensus is “overqualified” is a euphemism for

  • “I’m afraid you’ll leave this job because I’m assuming you’ll have better chances elsewhere” aka “you won’t accept being my slave forever due to lack of opportunities”
  • “I’m afraid you might actually understand how shitty it is here and want to improve things. can’t have that”
  • “I don’t want to figure out how much to pay you when you know your worth”
  • “You cost too much”
  • “I have other reasons, but won’t say them”
          • @[email protected]
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            25 months ago

            Handling geophysical data. Very demanding in terms of processing, network and storage, so they’re built accordingly.

              • @[email protected]
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                5 months ago

                I only remember the rough outline:
                Dual Xeon gold of some sort. The CPUs were upgraded in 2021, so whatever was reasonably top shelf around that time would be a good bet.
                256GB RAM
                Intel X710 Dual SFP+ 10gig net
                Mellanox ConnectX (5, I think, not sure) 100gig net
                Some high end NVIDIA card. I don’t remember which, but it replaced a Quadro P5000.
                Broadcom 3108 with cache battery
                36x Exos 10TB 3.5" SAS drives
                2x SSD of some type I do not remember
                2x NVMe, don’t remember those either.
                Supermicro X11 mainboard.
                Supermicro 5U chassis with drive bays in both back and front

                Some bits were upgraded, such as network, cpu, ram, and GPU. It’d be substantially less today, but the original setup is from 2017, and I remember seeing an invoice of ~180.000 USD equivalent each. My house is 150.000 USD equivalent.

                Each cluster involves four or six of these machines in a modified shipping container along with some other hardware, working as a mobile data cruncher.