Scientific Software Developer

Viridien•Houston, TX

9d•Hybrid

About The Position

As part of the team responsible for ensuring the efficiency, ease of use, reliability, and scalability of the core software for Viridien’s proprietary high-performance computing applications on GPU and CPU architectures, this position requires a deep understanding of computational science (especially parallel programming and code optimization), a strong mathematics/physics/engineering background, in-depth knowledge of computer software/hardware architecture, and excellent analytical and problem-solving skills. In this role, you will develop and maintain high-end geophysical algorithms for seismic processing, imaging, and interpretation. You will participate in design discussions, development, and deployment in large-scale state-of-the-art computing facilities across the world with a geographically dispersed developer team, researcher team, and user base.

Requirements

Master’s degree or higher in Physics, Engineering, Mathematics, or Computer Science, or 5 years of hands-on experience in scientific programming
Fluency in C/C++ (Fortran also preferred)
Experience with UNIX / POSIX programming
Highly experienced in debugging / profiling /optimizing
Highly experienced with MPI, CUDA, or other type of parallel computing
Highly experienced in scientific computing on various types of HPC architecture
Experience with full lifecycle of development, including product release
Innovative mindset
Highly motivated and eager to learn
Strong communication and problem-solving skills
Current U.S. work authorization or qualify for sponsorship

Nice To Haves

Good experience with ML toolbox and optimization for Python codes and libraries
Good knowledge of data structure, data compression, and data IO pipelining
Familiarity with Perforce (or other source control management software)
SQL or other database experience

Responsibilities

Develop and maintain high-end geophysical algorithms for seismic processing, imaging, and interpretation.
Participate in design discussions, development, and deployment in large-scale state-of-the-art computing facilities across the world with a geographically dispersed developer team, researcher team, and user base.