Software Engineer - Edge Ai & Systems

Job Description

We are looking for multiple seasoned Senior and Staff Software 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:

• https:
  //www.Ovt.Com/products/oax8000/
  
• https:
  //www.Ovt.Com/products/oax4600/
  
• https:
  //www.Ovt.Com/products/oa7100/
  

Deliveries:

• Neural Network Inference libraries, drivers and sample applications
  
• Boot ROM, RTOS/OS BSP and platform SDKs and sample application
  
• SoC IP programming models
  

Responsibilities:

• Develop various features of deliverables
  
• Solution profiling, optimization and benchmarking
  
• Support internal developers directly and customers through FAEs
  
• Ensure compliance as required e.G.ASPICE, MISRA C, Coverity, BlackDuck
  
• System architecture, verification and validation of ASIC IPs
  
• Constantly improve productivity through automation in all areas
  

Skills:

• Strong ANSI C design, implementation, optimization and debugging using GCC-like toolchains
  
• 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
  
• Processor architectures:
  ARM/RISC-V symmetric multiprocessing with cache &
  internal buses, SIMD, Vector Processing
  
• Debugging tools:
  gdb, simulators, emulators, JTAG, Oscilloscope, Logic Analyzers
  

Any of 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.
  
• FPGA and hardware interfacing and debugging
  

Requirements:

1. Ph.D/MSEE/BSEE in Electrical Engineering, Computer Science or Computer Engineering
   
2. At least 5 years of commercial embedded development experience.