Does anyone know of any job opportunities with constraints reasonably like this?
In the US (ideally California, for the climate)
Software development, ideally on GPUs (not graphics, but massively parallel number-crunching)
Reasonably low risk (no two-person startups)?
My qualifications are, extremely briefly, a physics PhD and two years’ experience as architect and lead developer of the GooFit framework for maximum-likelihood fits.
Edit to clarify: I’m not asking people to google for me! I was thinking more in terms of networking, as in “do you know someone who might consider me based on your recommendation, and would you be willing to recommend me based on forum acquaintance?” Perhaps I should have added my LW karma to the list of qualifications. :)
The NERSC suoercomputing facility, which I believe is adjunct to Lawrence Berkeley National Laboratory, would be worth looking into. Or the Computational Research Division also at LBNL. I know other California national labs are heavily into supercomputing as well. It’s a government job so the risk is pretty low.
I’ve seen a few similar positions recently. Haven’t been paying that much attention to them, since they’re usually looking for deeper graphics experience than I have, but I expect you ought to be able to find something.
Candidates should have a demonstrated track record of academic, industrial, and/or open-source accomplishments. Relevant areas of expertise might include parallel computing on high performance computing systems employing multi-core, GPU, or special-purpose architectures, numerical analysis, C/C++, or Python programming, data-intensive computing, compilers, operating systems, or distributed systems, but specific knowledge of and level of experience in any of these areas is less critical than exceptional intellectual ability.
They are in NYC. I’ve heard that they offer outstanding salaries (considering the wealth of the founder, they are unlikely to run out of funds).
If you do manage to get a job at Shaw, I’d be grateful if you could get me numbers on how much energy their Anton supercomputer uses. (Their publications don’t seem to say, and my emails have gotten no responses.)
Does anyone know of any job opportunities with constraints reasonably like this?
In the US (ideally California, for the climate)
Software development, ideally on GPUs (not graphics, but massively parallel number-crunching)
Reasonably low risk (no two-person startups)?
My qualifications are, extremely briefly, a physics PhD and two years’ experience as architect and lead developer of the GooFit framework for maximum-likelihood fits.
Edit to clarify: I’m not asking people to google for me! I was thinking more in terms of networking, as in “do you know someone who might consider me based on your recommendation, and would you be willing to recommend me based on forum acquaintance?” Perhaps I should have added my LW karma to the list of qualifications. :)
The NERSC suoercomputing facility, which I believe is adjunct to Lawrence Berkeley National Laboratory, would be worth looking into. Or the Computational Research Division also at LBNL. I know other California national labs are heavily into supercomputing as well. It’s a government job so the risk is pretty low.
Come to think of it, I have a network connection there; I will shake it and see if anything falls out.
I’ve seen a few similar positions recently. Haven’t been paying that much attention to them, since they’re usually looking for deeper graphics experience than I have, but I expect you ought to be able to find something.
This Monster posting seems representative.
I’ll edit my post to clarify, but my experience is not with graphics per se, it is with use of GPUs for general processing, ie number-crunching.
D. E. Shaw Research hires algorithm and software developers:
They are in NYC. I’ve heard that they offer outstanding salaries (considering the wealth of the founder, they are unlikely to run out of funds).
Thanks, I will give it a shot.
If you do manage to get a job at Shaw, I’d be grateful if you could get me numbers on how much energy their Anton supercomputer uses. (Their publications don’t seem to say, and my emails have gotten no responses.)
Sorry, they turned me down.
Thanks for counterfactually asking for me.