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flostk | 1 year ago

    Location: Philadelphia, PA, USA
    Remote: yes
    Willing to relocate: no
    Technologies: C/C++, Rust, Python (incl. Numpy, Tensorflow, Pytorch), Linux, Haskell, CUDA
    Email: m24@florianstecker.net

Website: https://florianstecker.net

Résumé/CV: https://florianstecker.net/resume.pdf

After I got my PhD in math, I've worked as a university professor (postdoc) for a few years, but now I want to switch from academia to software engineering or related fields. I have 20+ years of coding experience (as part of my job and as a hobby), particularly systems level programming in Linux.

As a math researcher, I'm used to solving hard problems without established solutions, and I enjoy learning new things every day. I'm open for any opportunity where my skills can be useful. Examples I have in mind are working on compilers, high-performance computing, or machine learning (both on the math/statistics side and the algorithms/optimization side), but I'm also happy to hear about anything else!

discuss

fjeremic|1 year ago

Hi Florian, my team is hiring ML compiler engineers who are keen to tackle hard problems in the area of scheduling ML graphs (think LLMs, ConvNets, etc.) onto neural processors with limited memory/parallelism. My team's goal is to develop algorithms to minimize either bandwidth or latency for running inference on these graphs. We work on NP hard problems that are approximated by heuristic algorithm approaches and are looking for smart people who can tackle these tough problems.

Here is the posting if you are interested: https://careers.qualcomm.com/careers/job/446696160715-machin...

Feel free to also contact me directly at fjeremic@qti.qualcomm.com if you are interested and would like to find out more.