Summary
Karl-étienne Bolduc is an R&D graphics developer with 8 years of experience building GPU-driven solutions and real-time prototypes, currently working at Synopsys after a stint at Huawei Canada. He holds a M.Sc. in Computer Graphics and a B.Sc. in Physics and Computer Science from Université de Montréal, where his research combined geometry processing, 3D reconstruction, JAX-based auto-differentiation and interactive UIs. His background spans applied research and industry R&D—shipping numerical and parallelized methods for interpolation, PDEs on arbitrary surfaces, and CUDA-accelerated experiments for fluid simulation. He enjoys tackling unconventional problems that demand creative, out‑of‑the‑box thinking and has a track record of improving performance (including a reported 10x speedup in research) and prototyping end-to-end systems. Comfortable across C++, Python, JAX and GPU toolchains, he brings both deep numerical rigor and practical engineering to graphics and rendering challenges.
8 years of coding experience
2 years of employment as a software developer
Mathematics and Computer Science, Mathematics and Computer Science at Collège de Maisonneuve
Master's degree, Computer Graphics, 4.3/4.3, Master's degree, Computer Graphics, 4.3/4.3 at Université de Montréal
French, English