Staff/Senior Machine Learning Engineer - Edge AI & Systems

We are looking for multiple seasoned Senior and Staff System Engineers to grow an Edge AI & Systems software team to the next level. This team works within the larger ASIC team to architect and enhance Neural Network solutions in the Video Processor roadmap. Deliveries: Neural Network Processor (NPU) architecture, programming Model, simulation, verification, profiling and optimization Specification, review and verification of other IP blocks FPGA images and IO boards for pre-silicon verification and design exploration Boot ROM, bare metal BSPs, sample applications Responsibilities: Support Inference Engine, Toolchain and ASIC teams on NPU Constantly improve productivity through automation in all areas Skills: Strong ANSI C bare-metal design, implementation, optimization and debugging using GCC-like toolchains Strong processor architecture knowledge: ARM/RISC-V ISA, symmetric multiprocessing, cache architecture, SIMD, Vector Processing, custom instructions Strong software, hardware and FPGA debugging capability Good communication, collaboration, task estimation & reporting, CI/CD via tools such as Confluence, Git, JIRA etc Familiarity with Python for prototyping, demo, verification and/or automation OS: GNU/Linux, proprietary RTOS, Bare metal Advantageous: Detailed and comprehensive understanding of TinyML (e.g. TensorFlow Lite for MCUs), from training, quantization through to operator execution, optimizing for power, performance, and size. Requirements: Ph.D/MSEE/BSEE in Electrical Engineering, Computer Science or Computer Engineering At least 5 years of commercial embedded system architecture and development experience. #J-18808-Ljbffr