Senior Math Libraries Engineer - Dense Linear Algebra

Sheto

Unknown
Base: 184,000 usd - 287,500 usd for level 4, 224,0...
Hybrid
High-performance numerical linear algebra software
C++ and parallel programming
Dense linear algebra libraries development
We are looking for software engineers to join our development efforts in the area of dense linear algebra kernels for high-performance libraries such as cuSOLVER

Job Summary

  • We are looking for software engineers to join our development efforts in the area of dense linear algebra kernels for high-performance libraries such as cuSOLVER.
  • In this role, you will work together with other developers on designing, developing, and optimizing kernels for various algorithms including triangular factorizations, eigenvalue decompositions and singular value decompositions.
  • Your base salary will be determined based on your location, experience, and the pay of employees in similar positions, with eligibility for equity and benefits.

Matching Summary

We are looking for software engineers to join our development efforts in the area of dense linear algebra kernels for high-performance libraries such as cuSOLVER.

Salary

Base: 184,000 USD - 287,500 USD for Level 4, 224,000 USD - 356,500 USD for Level 5; Bonus/Equity: Eligible for equity; Benefits: Eligible for benefits

Skills & Requirements

Must-have

  • High-performance numerical linear algebra software
  • C++ and parallel programming
  • Dense linear algebra libraries development
  • GPU accelerated computing kernels
  • Technical leadership and collaboration

Nice-to-have

  • Knowledge of CPU and GPU hardware architecture
  • Experience with CI/CD and project management tools
  • Working in globally distributed organizations
  • Large-scale computing technologies background

Key Requirements

  • PhD or MSc degree in Computational Science and Engineering or related field
  • 5+ years experience in high-performance numerical linear algebra software development
  • Experience with CUDA, MPI, OpenMP, OpenACC, pthreads
  • Strong fundamentals in numerical methods and decompositions
  • Experience with BLAS, LAPACK, PBLAS, SCALAPACK

Work Rights

Not specified

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