About: PhD theoretical and computational physicist writing code, working on modeling systems, teasing actionable data out of massive (TB->PB) data stores, building very high performance applications, systems. 25+ yoe in a professional capacity. I work with clusters, supercomputers (I like the heavy metal :D ), clouds, etc. I've been an IC, CEO/CTO, manager, director. Looking for a fun place with hard (mathy/computey) problems.
Remote: preferred, or hybrid
Willing to relocate: yes to NYC area, Austin Tx, Chicago area
Technologies: High Performance Computing (HPC) focus
- parallel/vector code (OpenMP, MPI, threads, AVX primitives, some CUDA and ROCm, ...
- performance measurement and application tuning/optimization: perf tooling, eBPF, prof/gprof, ...
- storage system design, implementation, management: Lustre, NFS, BeeGFS, Minio
- distributed resource managers: Grid Engine, SLURM, LSF, ...
- optimized toolchain builds: Python, Julia, Perl, ...
- HPC environments and languages: Python with Numpy/Pandas/Polars/..., Julia, Fortran (yes, it is still used), C/C++, Octave/Matlab, gnuplot, Maxima, ...
github: https://github.com/joelandman
email: hnjl@scalability.org or via linkedin