Das ist der Job
OpenBLAS); identification of missing kernels and implementation of new accelerator kernels.
Darum lohnt es sich
You and your team will develop new software and port established open-source libraries to our platform, accelerating them by using existing or newly developed accelerator kernels. Prospective team members require strong C skills and bare-metal development experience as well as experience with Python or similar scripting languages.
We are looking for Embedded Software Engineers who will build benchmarks, demos, and reference implementations leveraging our special acceleration modes.
Focus areas include, but are not limited to: Bare-metal implementations of signal processing and machine learning algorithms utilising existing accelerator kernels; selection, porting and integration of open-source libraries (e.g.
Preferred experiences include porting existing code to new platforms; signal-processing (e.g., FFT, FIR); numerical / linear algebra libraries (BLAS / LAPACK); inference of machine learning models; l ow-level debugging and profiling skills; RISC-V experience; parallel programming models (CUDA, OpenCL, or similar).
Bachelor’s degree (or equivalent experience) and 2+ years of hands-on experience in a relevant role. Relocation required. Currently 4 days on-site, 1 day remote. Policy may change.
