We are seeking a selfmotivated senior engineer for the Aerial Omniverse Digital Twin team. This hire will lead the design and implementation of a realtime, GPUaccelerated propagation engine that predicts how radio signals travel through realistic 3D environments producing both perlink channel characterisations 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, using NVIDIA's worldclass GPU and raytracing platforms.
What you'll be doing:
As a member of NVIDIA's Aerial team, you will architect and implement a GPU raytracing engine that operates at two time scales. At the planning scale, the engine produces volumetric radio maps coverage, SINR, and bestserver maps at multiple resolutions, composable across cells, frequencies, and beam configurations that network operators use to design and optimise deployments. At the realtime scale, the same engine delivers perlink multipath channel updates at the millisecond cadence that a production RAN stack requires, using adaptive algorithms that exploit temporal coherence to avoid recomputing what hasn't changed. Laying the foundations for realtime ray tracing on GPU hardware algorithms, data structures, and multiGPU scaling strategies that make submillisecond propagation updates feasible is the defining technical challenge of this role.
What we need to see:
PhD in computer graphics, highperformance computing, computational electromagnetics, or a closely related field (or equivalent experience).
8+ years of relevant experience.
Handson proficiency with CUDA and at least one GPU raytracing framework (OptiX, Vulkan RT, Embree), with a track record of writing productionquality GPU code.
Proficiency in GPUfriendly spatial data structures (BVH, spacefilling curves, hash maps) and the ability to reason about memory hierarchy, occupancy, and computevsbandwidth tradeoffs 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, realtime rendering, or deterministic propagation modelling.
Ways to stand out from the crowd:
Experience with realtime or nearrealtime raytracing engines shipping in production systems.
Prior work on multiGPU partitioning for raytracing or largescale simulation workloads.
Familiarity with 3GPP channel models and wireless network planning tools.
Knowledge of geospatial coordinate systems and tiling schemes.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until May 11, 2026.This posting is for an existing vacancy.
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