Location: Munich, DE

Remote: yes

Willing to relocate: yes

Technologies: Python, C++, some TypeScript and Rust, Docker, some Kubernetes, build systems (Make, CMake, Bazel). Familiar with Python CPU/GPU computing libs like NumPy, SciPy, JAX, PyTorch.

Résumé/CV: https://www.linkedin.com/in/nicholas-junge

Email: nicho [dot] junge [at] gmail.com

Looking for a job in software engineering or research, preferably with focus on ML / scientific computing, since that's what I consider myself good at. I am a regular contributor to open source projects (nicholasjng on GitHub), notably in benchmarking (google/benchmark and aai-institute/nnbench), scientific computing (JAX) and Python<->C++ interop (nanobind). Ideally, in my next role I want to pick up more Rust, solidify my C++ knowledge, and also work on compiler tech including, but not limited to ML compilers like MLIR, XLA, and Triton. Merged my first MLIR PR a few weeks back, hopefully more to come soon.