Staff ML Compiler Engineer, d-Matrix

• Bachelor's degree in Computer Science with 7+ Yrs of relevant industry experience, MSCS Preferred with 5+ yrs of relevant industry experience
• Ability to deliver production quality code in modern C++
• Experience in modern compiler infrastructures, for example: LLVM, MLIR
• Experience in machine learning frameworks and interfaces, for example: ONNX, TensorFlow and PyTorch
• Experience in production compiler development

Desirable

• The d-Matrix compiler team is looking for exceptional candidates to help develop the compiler backend - specifically the problem of assigning hardware resources in a spatial architecture to execute low level instructions
• The successful candidate will be motivated, capable of solving algorithmic compiler problems and interested in learning intricate details of the underlining hardware and software architectures
• The successful candidate will join a team of experienced compiler developers, which will be guiding the candidate for a quick ramp up in the compiler infrastructure, in order to attack the important problem of mapping low level instructions to hardware resources
• We have opportunities specifically in the following areas:
• Model partitioning (pipelined, tensor, model and data parallelism), tiling, resource allocation, memory management, scheduling and optimization (for latency, bandwidth and throughput)