Skymizer is developing a software stack for deploying AI models at various types of AI system-on-chips, from high-performance cloud to cost-effective edge devices.

As a software engineer of Virtual Platform, you will help develop a so-called “Virtual Platform” tool for hardware & software co-design/co-verification of AI models under the target machine’s constraints.

Your contribution is important for enabling those exciting deep neural network models really working in the daily life. Without Virtual Platform (VP), the compiler and runtime cannot run on an architectually identical hardware with Transaction-level modeling for time-to-market, which benefits cost and efficiency.

We are heavily using C++/SystemC. You should be familiar with modern C++/SystemC techniques, and be able to program in a logical, reusable, and timely fashion.

Responsibility

• Develop System-on-Chip simulators
  

Minimum qualification

• Bachelor in Computer Science, Electrical Engineering, or equivalent experience
• Experience with C/C++

Preferred qualifications

• Master in Computer Science, Electrical Engineering, or equivalent experience
• Desire to acquire the understanding of SystemC and AI accelerators
• Willingness to enhance the knowledge of system software and computer architecture
• Passionate about learning the latest AI technologies from software and hardware perspectives
• Knowledge of modern operating systems
• Elected courses on modern computer architecture or computer organization
• (Plus) Experience with system virtualization technologies, such as SystemC simulators, QEMU, or other virtual platforms
• (Plus) Experience with System C
• (Plus) Experience with developing Linux kernel driver or BSP
• (Plus) Experience with Neural Network frameworks, such as PyTorch or TensorFlow
• (Plus) Experience with Neural Network compilers, such as ONNC or TVM