Seismic Imaging Software Engineer — HPC & Python/C++

Experis (Austria)

Spring (TX)

On-site

USD 110,000 - 131,000

Full time

3 hours ago
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Job summary

Experis seeks a Scientific Software Engineer in Spring, TX to join a team that develops geoscience applications for seismic imaging on a world-class HPC system. You will help turn research code into production-grade software for oil and gas exploration.

The role is 80-100% development work on a SCRUM team, collaborating with researchers and global partners to optimize performance and enable future hardware choices with HPC specialists.

Qualifications

  • Degree in Computer Science, Software Engineering, Engineering, Applied Mathematics, Computational Science, or related field.
  • Several years of C/C++ experience with scientific computing codes that use parallel computing.
  • OS: Experience in a Linux environment.
  • Able to work well in a diverse team environment.
  • Strong verbal and written communication skills for effective collaboration and mentoring.
  • Self-motivated and driven to learn.
  • Safety oriented mindset.

Responsibilities

  • 80-100% development work on a SCRUM team to develop and support seismic imaging applications.
  • Collaborate with researchers to enable their research and to commercialize prototype research code.
  • Support internal business partners that are globally distributed.
  • Optimize applications to improve HPC utilization and throughput of seismic processing projects.
  • Collaborate with HPC systems team and geoscientists for future hardware/system upgrades.

Skills

C/C++ experience
Linux OS
Team collaboration
Communication skills
Self-motivated
Safety mindset

Education

Degree in Computer Science or related field

Job description

Experis seeks a Scientific Software Engineer in Spring, TX to join a team that develops geoscience applications for seismic imaging on a world-class HPC system. You will help turn research code into production-grade software for oil and gas exploration.

The role is 80-100% development work on a SCRUM team, collaborating with researchers and global partners to optimize performance and enable future hardware choices with HPC specialists.

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