Software Engineer - Parallel Frameworks

NextSilicon is reimagining high-performance computing (HPC & AI). Our accelerated compute solutions leverage intelligent adaptive algorithms to vastly accelerate supercomputers, driving them forward into a new generation. We have developed a novel software-defined hardware architecture that is achieving significant advancements in both the HPC and AI domains.

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.
  
  

• 5+ years of advanced C or C++ experience, with excellent coding skills
• MSc/BSc in CS\EE or other equivalent experience
• Experience in parallel compute frameworks (such as OpenMP, MPI, CUDA, OpenCL, Kokkos) - big advantage
• Hands-on experience working with common math accelerated libraries: BLAS, FFTW, Eigen, LAPACK - advantage
• Experience with compilers (familiarity with LLVM-IR, MLIR or proprietary) - advantage
  
  

• Play a key role in defining the architecture for the NextSilicon parallel compute framework API, and how it will interact with other common parallel compute frameworks. Integrate parallel frameworks using NextSilicon SDK.
• Ownership and accountability for accelerated solutions of common math libraries using NextSilicon SDK. Owns features end-to-end from requirements to testing.
• Play a key role in defining and implementing NextSilicon SDKs and APIs.
• Implement accelerated solutions and innovate by understanding our full software stack end-to-end. Identify performance bottlenecks and resolve them.
• Work in close collaboration with cross-functional and multidisciplinary teams, including software, hardware, system, research, and apps engineering teams.