Design, develop, and maintain high‑performance C++ software for scientific and computational workloads.
Build scalable applications using modern C++ (17/20) with an emphasis on correctness, performance, and maintainability.
Develop and extend scientific computing pipelines running in Linux and HPC environments.
Optimize compute‑intensive code using profiling, benchmarking, and performance‑tuning techniques.
Collaborate with senior engineers and researchers to translate computational requirements into robust software solutions.
Work with containerized applications (Docker, Singularity) deployed in HPC and cloud environments.
Integrate applications with HPC schedulers (e.g., Slurm) for batch and interactive workloads.
Contribute to documentation, testing, and CI/CD workflows to support reliable software delivery.

Requirements

1–3 years of professional experience (or equivalent academic/research experience) in software development.
Proficiency in C++ for scientific or performance-critical applications.
Working knowledge of Linux development environments.
Familiarity with modern build systems (e.g., CMake, Bazel).
Experience or coursework in scientific computing, numerical methods, or systems programming.
Basic experience with Python for scripting, tooling, or analysis.
Strong problem-solving skills and a desire to learn complex technical systems.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

C++Linuxscientific computingperformance tuningprofilingbenchmarkingDockerSingularityCMakePython

Soft Skills

problem-solvingcollaborationdesire to learn