Senior GPU Raytracing Engineer

What you'll do

• Architect and implement a GPU ray-tracing engine for real-time radio signal propagation.
• Produce volumetric radio maps including coverage, SINR, and best-server maps at multiple resolutions.
• Deliver per-link multipath channel updates at a millisecond cadence for production RAN stacks.
• Develop adaptive algorithms that exploit temporal coherence to minimize redundant computations.
• Design GPU-friendly spatial data structures like BVH and hash maps for large-scale simulations.
• Implement multi-GPU scaling strategies to achieve sub-millisecond propagation updates.
• Model electromagnetic wave phenomena including reflection, transmission, diffraction, and scattering.

What we're looking for

• PhD in computer graphics, high-performance computing, computational electromagnetics, or a closely related field (or equivalent experience).
• 8+ years of relevant experience.
• Hands-on proficiency with CUDA and at least one GPU ray-tracing framework such as OptiX, Vulkan RT, or Embree.
• Proficiency in GPU-friendly spatial data structures and the ability to reason about memory hierarchy, occupancy, and compute-vs-bandwidth trade-offs.
• Working knowledge of electromagnetic wave propagation phenomena sufficient to implement and validate a propagation engine.
• Impactful publications in GPU ray tracing, real-time rendering, or deterministic propagation modelling.
• Experience with real-time or near-real-time ray-tracing engines shipping in production systems (preferred).
• Prior work on multi-GPU partitioning for ray-tracing or large-scale simulation workloads (preferred).