Senior GPU Propogation Engine Engineer

NVIDIA•Santa Clara, CA

About The Position

We are seeking a self-motivated senior engineer for the Aerial Omniverse Digital Twin team. This role involves leading the design and implementation of a real-time, GPU-accelerated propagation engine. This engine will predict how radio signals travel through realistic 3-D environments, producing both per-link channel characterizations and radio maps at the speed required by production RAN stacks. This position offers the opportunity to work on foundational technology for 5G and 6G network simulation, leveraging NVIDIA's world-class GPU and ray-tracing platforms.

Requirements

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 (OptiX, Vulkan RT, Embree), with a track record of writing production-quality GPU code.
Proficiency in GPU-friendly spatial data structures (BVH, space-filling curves, hash maps) and the ability to reason about memory hierarchy, occupancy, and compute-vs-bandwidth trade-offs at the kernel level.
Working knowledge of electromagnetic wave propagation phenomena (reflection, transmission, diffraction, scattering) sufficient to implement and validate a propagation engine.
Impactful publications in GPU ray tracing, real-time rendering, or deterministic propagation modelling.

Nice To Haves

Experience with real-time or near-real-time ray-tracing engines shipping in production systems.
Prior work on multi-GPU partitioning for ray-tracing or large-scale simulation workloads.
Familiarity with 3GPP channel models and wireless network planning tools.
Knowledge of geospatial coordinate systems and tiling schemes.

Responsibilities

Architect and implement a GPU ray-tracing engine that operates at two time scales.
At the planning scale, produce volumetric radio maps (coverage, SINR, and best-server maps at multiple resolutions, composable across cells, frequencies, and beam configurations) that network operators use to design and optimize deployments.
At the real-time scale, deliver per-link multipath channel updates at the millisecond cadence required by a production RAN stack, using adaptive algorithms that exploit temporal coherence to avoid recomputing what hasn't changed.
Lay the foundations for real-time ray tracing on GPU hardware, including algorithms, data structures, and multi-GPU scaling strategies that make sub-millisecond propagation updates feasible.