This is your chance to work on the future of computing by working on cutting-edge accelerated hardware, software and distributed systems. Our team's solutions are used by customers to build and run larger artificial intelligence models more efficiently and at lower cost every day. The AI and Advanced Architectures team is looking for hardware engineers to join us. We innovate using a mix of algorithmic innovation, custom hardware, and framework-level software that interfaces to the hardware. We're looking for a motivated hardware engineer to contribute to our core software and hardware stack. Day to day tasks for this may include optimizing deep neural network operators and layers to make efficient use of the hardware, optimizing device memory usage and data paths, studying the latest DNN models to map them to the hardware, and contributing back to open source projects. You'll need to be comfortable working in C/C++ and Verilog and have computer science and digital system design fundamentals
Development of FPGA/ASIC accelerators
Required Qualifications: B.S or higher in computer engineering, computer science, or related fields Preferred Qualifications: Strong intellectual curiosity and passion about learning new technologies Advanced coursework/projects, or equivalent experience programming in RTL (e.g., Verilog and/or VHDL) Experience with FPGA/ASIC design, including RTL development, synthesis, timing closure, and hardware bring-up/debug Familiar with hardware CAD tools - e.g., Modelsim, Xilinx Vivado or Intel Quartus, TCL scripting Proficient in standard programming languages (e.g., C/C++, C#/Java) and scripting (e.g