C++ Machine Learning Engineer, Models Training
Required skills
Strong in C++ and low-level systems programming, especially in performance-critical code. Comfortable thinking in tensors, memory layout, and compiler graphs. Familiar with PyTorch and curious about how frameworks map to hardware. A builder who enjoys solving technical puzzles and digging into the details.
Technologies
C++, PyTorch, RISC-V CPU, custom silicon, compilers, networking, semiconductors.
Responsibilities
Extend and optimize our ML training framework with new ops, layers, and training features. Debug and tune model performance on Tenstorrent chips. Work with compiler and kernel teams to make sure models compile and run as expected. Support integration of real-world models and help bring them into production.
Seniority
Various experience levels.
Domain
Machine learning, AI, software models, compilers, platforms, networking, semiconductors.
