SW Manager

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.
  
  

• Bachelor’s or Master’s degree and/or equivalent experience in computer science or a related field.
• 8+ years of managerial experience, leading teams and groups, and 10+ years of software engineering experience.
• Exceptional leadership and collaboration skills.
• Solid experience leading software teams through the development lifecycle, including concept, design and implementation.
• Experience with low-level software—including boot, BSP, device runtime, and RTOS—a must.
• Solid knowledge of processor architecture, including CPUs (x86, ARM, RISC-V), GPUs, DSPs, and TCUs.
• In-depth understanding of operating systems, including device management, memory management, IPC, and runtime: an advantage.
• Experience with compilers and RISC-V, ARM and/or x86 assembly languages: an advantage.
• Strong software architecture design and C/C++ programming skills.
• Experience working on large codebase projects that have reached the production stage.
  
  

• Work on design and implementation of new and enhanced runtime features across the AI stack to support high performance computing of AI models
• Develop the runtime environment for massively accelerating AI workloads execution and handle OS/device process and thread lifecycle
• Develop multi nodes execution scaling while leveraging standard networking APIs of MPI and Collectives
• Define feature development scope and plan for successful product delivery
• Wide system impact through collaboration with software engineers, hardware engineers, compiler developers and other stakeholders