Schlumberger

High Performance Computing Engineer

Schlumberger$100K — $150K *
Technical Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Masters degree in software engineering or equivalent
  • 5+ years developing high-performance numerical software in C++ and CUDA
  • Strong background in applied mathematics, physics, or geophysics
  • Good communication skills, both oral and written
  • Ability to collaborate with global teams and stakeholders

Responsibilities

  • Develop and maintain seismic imaging code and HPC infrastructure
  • Implement new imaging algorithms in collaboration with researchers
  • Optimize software for high performance on cloud and on-prem hardware
  • Ensure software integrity during development and commercialization
  • Present findings at conferences and client meetings
  • Support commercialization and operational teams

Benefits

  • Competitive base salary with bonus
  • Private healthcare for employee and family
  • Subsidized dental care
  • Health and wellbeing programs, including mental health support
  • Pension contributions from employer and employee
  • Income protection scheme
  • Life insurance
  • Flexible benefits program options
Full Job Description
Responsibilities as a key member of our seismic imaging team include:
  • Develop, support and maintain our industry-leading seismic imaging code base, including HPC data-handling infrastructure and GPU-accelerated kernels
  • Work with researchers to implement and develop new imaging algorithms and enhancements to existing methods
  • Optimize new and existing production software to ensure ongoing high performance on cutting-edge hardware in both cloud and on-prem environments
  • Investigate and ensure the integrity of our software as it is developed and commercialized
  • Present results at internal and external conferences and client meetings
  • Provide support to commercialization and operational teams

Qualifications and Experience:
  • Masters level degree in software engineering or equivalent
  • At least five years of proven experience developing and supporting high-performance numerical software in C++ and CUDA, including parallel computing, performance profiling and CPU/GPU optimization
  • Strong background in applied mathematics/physics/geophysics, especially in inverse problems, numerical inversion, numerical simulation, linear and nonlinear solvers, and optimization.
  • Good oral and written communication skills
  • Ability to work effectively with teams and stakeholders worldwide

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