• https://www.ovt.com/products/oax8000/
• https://www.ovt.com/products/oax4600/
• https://www.ovt.com/products/oa7100/

• 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

• 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.

• Ph.D/MSEE/BSEE in Electrical Engineering, Computer Science or Computer Engineering
• At least 5 years of commercial embedded system architecture and development experience.