At Xilinx, we are leading the industry transformation to build an adaptable, intelligent world. ARE YOU bold, collaborative, and creative? We develop leaders and innovators who want to revolutionize the world of technology. We believe that by embracing diverse ideas, pushing boundaries, and working together as ONEXILINX, anything is possible.
Our culture of innovation began with the invention of the Field Programmable Gate Array (FPGA), and with the 2018 introduction of our Adaptive Compute Acceleration Platform (ACAP), has made a quantum leap in capability, solidifying our role as the adaptable platform supplier of choice. From self-driving cars, to world-record genome processing, to AI and big data, to the world's first 5G networks, we empower the world's builders and visionaries whose ideas solve every day problems and improve people's lives.
Xilinx is looking for a Software Developer to join our Open-Source Deep Learning Compiler Team. The compiler reads machine learning networks ang generates code for ACAPs that is optimized for latency, throughput and power.
In this position, you will compile and optimize machine learning networks in languages like PyTorch, TensorFlow or ONNX. You will work closely with senior developers to identify and implement optimizations and transformations, such as quantization, operator fusion, tiling, and memory layout, targeted to ACAP, and will contribute to open-source code based on MLIR (Multi-level Internal Reference).
Years of Experience