Software Engineer - Parallel Frameworks

Posted 23 Days Ago
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Hiring Remotely in Israel
Remote
Senior level
Hardware • Software
The Role
NextSilicon seeks an experienced software engineer to enhance HPC through parallel frameworks, with a focus on coding quality and performance.
Summary Generated by Built In

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.

At NextSilicon, we are reimagining high-performance computing. Our pioneering coprocessor vastly accelerates 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.

We are looking for an experienced software engineer with a performance oriented view of coding and knowledge in parallel frameworks. Someone who likes to have an end-to-end understanding of HW-SW, and make an impact on the world of accelerated computing to join our SDK group.

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

Top Skills

Blas
C
C++
Cuda
Eigen
Fftw
Kokkos
Lapack
Llvm-Ir
Mlir
Mpi
Opencl
Openmp
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The Company
HQ: Giv'atayim
280 Employees
Year Founded: 2017

What We Do

We believe in a smarter future and want to create new opportunities for innovation. In order to achieve this, we’re rethinking compute architectures for the future of computer processing.

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