NextSilicon is reimagining high-performance computing. Our accelerated compute solutions leverage intelligent adaptive algorithms to vastly accelerate supercomputers, driving them forward into a new generation. Our new software-defined hardware architecture enables HPC to fulfill its promise of breakthroughs in all fields of advanced research.

At NextSilicon, everything we do is guided by three core values:

• Professionalism: We strive for exceptional results through professionalism and unwavering dedication to quality and performance.
• Unity: Collaboration is key to success. That's why we foster a work environment where every employee can feel valued and heard.
• Impact: We're passionate about developing technologies that make a meaningful impact on industries, communities, and individuals worldwide.
  
  

NextSilicon is tightly integrating a CPU with our software-defined hardware solution. We are seeking a Software Engineer to investigate the performance of the cycle-accurate CPU simulations. In this key role, you will investigate CPU and system performance in both simulated and real-world environments, conduct comparative analyses with competitor compute accelerator chips, and study large systems down to minute detail.

If you love complexity and can handle multiple abstraction levels with ease, this role is for you. You'll need to be comfortable working with bits and enjoy diving into the details.

Requirements:

• 5 years of experience either in software engineering or performance modeling
• Experience in C, C++, or another low level programming language
• System level programming experience
• Experience in assembly language — an advantage
• Experience in hardware simulation — an advantage
• Experience in software performance engineering — an advantage
  
  

Responsibilities:

• Gain a detailed understanding of our hardware components
• Thoroughly understand how our CPU simulation software replicates hardware
• Develop tools to identify and troubleshoot inaccuracies in the simulation software’s modeling of the hardware
• Collaborate with the team to define new hardware features that improve performance
• Identify performance bottlenecks in real-life code