We're developing new hardware accelerator architectures for running machine learning models. We have prototypes implemented on Xilinx FPGA's and we're looking for someone to expand this work into something that's ready for customers. This work will involve FPGA development work such as clock & resources optimization, floor-planning, debugging and host integration. It may also involve processor architecture design work such as micro-architectural optimizations and design for verification & test.
This is a job for an experienced FPGA engineer who wants to get their hands dirty with a novel processing system and make significant contributions starting from day one. Depending on your priorities, this could be a simple full-time role or a co-founder position.
- Clock optimization experience is a must-have
- Key skills: Xilinx Vivado, Verilog, Tcl, Python
- Familiarity with Chisel is a bonus (https://www.chisel-lang.org/)
- Previous experience with machine learning accelerators will be helpful
Our website: https://www.tensil.ai
How we work: https://www.tensil.ai/about