Key responsibilities:

• Design, implement, and optimise GPU‑accelerated algorithms using CUDA, C++, and Python
• Port and optimise scientific and engineering applications to GPU platforms
• Develop high‑performance data processing pipelines for real‑time and batch analytics
• Collaborate with cross‑functional teams to integrate HPC solutions into client systems
• Contribute to software architecture, code reviews, and performance benchmarking

What You Bring

Essential:

• Strong proficiency in C++, CUDA, and Python
• Solid experience with GPU parallel computing (CUDA, OpenMP, MPI, or OpenACC)
• Background in numerical modelling, image reconstruction, or scientific computing
• Familiarity with Linux, Git, CMake, and CI/CD workflows
• Ability to translate complex theoretical models into efficient, production‑ready code

Highly Desirable:

• Experience porting or optimising GROMACS, VASP, or similar scientific applications
• Knowledge of neural network‑based denoising or image reconstruction algorithms
• Background in physics, applied mathematics, or computational engineering (PhD/MSc preferred)
• Exposure to molecular docking, CT imaging, or seismic data processing

Qualifications:

• Bachelor’s degree in Computer Science, Physics, Engineering, or a related field (advanced degree strongly preferred)
• 3+ years of relevant software development experience