High Performance Computing Engineer

SLB•Houston, TX

8h•Hybrid

About The Position

SLB is a global technology company dedicated to driving energy innovation for a balanced planet. Their purpose is to create amazing technology that unlocks access to energy for the benefit of all, with a mission spanning 100 years. They are actively working to address the challenge of simultaneously reducing emissions and meeting the world's growing energy demands, striving for a balanced planet on the journey to net zero and beyond. The company emphasizes decarbonizing the fossil fuel industry while innovating a new energy landscape. As a High Performance Computing Engineer, you will be a key member of the seismic imaging team. Your responsibilities will include developing, supporting, and maintaining their industry-leading seismic imaging code base, which encompasses HPC data-handling infrastructure and GPU-accelerated kernels. You will collaborate with researchers to implement new imaging algorithms and enhance existing methods, optimize production software for high performance on cutting-edge hardware in both cloud and on-prem environments, and ensure the integrity of software throughout its development and commercialization. Additionally, you will present results at internal and external conferences and client meetings, and provide support to commercialization and operational teams.

Requirements

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

Responsibilities

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