We're developing new hardware accelerator architectures for running machine learning models. We have prototypes implemented on Xilinx FPGA's and we're currently pushing forward with customer development and partnerships. You will be focused on consolidating, expanding and improving the existing architecture, and developing new architectures in the future. You will work closely with hardware and compiler engineers to verify functionality, improve resource efficiency and tune performance.
This is a job for a computer architect with a keen interest in machine learning accelerators and high performance architectures. You will make significant contributions starting from day one. Depending on your priorities, this could be a simple full-time role or a co-founder position.
- Key skills: Verilog, Tcl, Python, Design for Test
- Familiarity with Chisel and/or Scala is a bonus (https://www.chisel-lang.org/)
- Familiarity with Xilinx Vivado is a bonus
- Previous experience with machine learning accelerators will be extremely helpful
Our website: https://www.tensil.ai
How we work: https://www.tensil.ai/about