Senior/Staff System 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 including these current and older products:

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 applicationsResponsibilities:

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

The following will be 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.