Embedded Software Engineer: Bare-Metal DSP/ML Kernel Dev

We are looking for Embedded Software Engineers who will build benchmarks, demos, and reference implementations leveraging our special acceleration modes . 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 . 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. OpenBLAS); identification of missing kernels and implementation of new accelerator kernels .

Prospective team members require strong C skills and bare-metal development experience as well as experience with Python or similar scripting languages. 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 ; low-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.