Scientific Software Engineer

Ian Martin Group; Spring (TX); On-site; USD 96,000 - 110,000; Full time

Job summary

Ian Martin Group is seeking a Scientific Software Engineer in Spring, TX to develop seismic imaging software on a high-performance computing system. You will collaborate with geoscientists, researchers, and offshore teams, turning prototype code into production software while optimizing for HPC workloads. The role involves a Scrum team and global business partner support; 12-month contract, on-site in Spring, TX.

Qualifications

• 10+ years of C/C++ experience on parallel scientific computing.
• Modern C++ (C++11 and later)
• Python and Bash shell scripting in a Linux environment
• Experience building simulation-based software
• Experience working with third-party application programming interfaces (APIs)
• Strong grasp of code complexity and how algorithm choices affect performance
• A degree in computer science, software engineering, engineering, applied mathematics, computational science, or a related field

Responsibilities

• Develop and support seismic imaging applications as part of a Scrum team.
• Work through a shared backlog with engineers in Houston and India.
• Partner with geoscientists and researchers to understand their needs and solve scientific problems.
• Turn prototype research code into reliable production software.
• Tune applications to better use the HPC system and speed up seismic processing projects.
• Support business partners around the world.
• Help the HPC systems team and geoscientists plan future hardware and system upgrades

Skills

C/C++ programming

Parallel computing

Python scripting

Linux

Algorithm performance

Strong problem solving

Education

Bachelor's degree in CS or related field

Tools

MPI

OpenMP

CUDA

VTune

Nsight

gprof

Git

Azure DevOps

Job description

Scientific Software Engineer

• Pay Rate: $70 - $80/hour (on W2)
• Contract Length: 12 months
• Location: Spring, TX 77389

Raise is currently hiring a contract team member on behalf of our client. They’re expanding their team to meet growing needs, making this a unique opportunity to work with an industry leader.

Overview

Your code helps geoscientists see deep below the earth’s surface. As a Scientific Software Engineer, you build and support the seismic imaging software a leading energy company uses to find oil and gas. You work side by side with geoscientists and researchers, and your code runs on a world-class high-performance computing (HPC) system. Success means faster, more reliable imaging, so scientists get answers sooner.

Responsibilities

• Develop and support seismic imaging applications as part of a Scrum team.
• Work through a shared backlog with engineers in Houston and India.
• Partner with geoscientists and researchers to understand their needs and solve scientific problems.
• Turn prototype research code into reliable production software.
• Tune applications so they make better use of the HPC system and speed up seismic processing projects.
• Support business partners around the world.
• Help the HPC systems team and geoscientists plan future hardware and system upgrades.

Required Qualifications

• 10+ years of C/C++ experience on scientific computing code that runs in parallel
• Modern C++ (C++11 and later)
• Python and Bash shell scripting in a Linux environment
• Experience building simulation-based software
• Experience working with third-party application programming interfaces (APIs)
• Strong grasp of code complexity and how algorithm choices affect performance
• A degree in computer science, software engineering, engineering, applied mathematics, computational science, or a related field

Preferred Qualifications

• Experience in seismic imaging, geoscience, or oil and gas
• Message Passing Interface (MPI), plus OpenMP or CUDA
• Profiling and performance tuning with tools like Intel VTune, NVIDIA Nsight, or gprof
• Object-oriented design
• Git and Azure DevOps (ADO)
• Experience on an Agile Scrum team
• Clear written and spoken communication, including mentoring others
• You take initiative, enjoy a hard scientific problem, and put safety first.

We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities.