NVIDIA

Senior GPU Raytracing Engineer

In short

NVIDIA's Aerial Omniverse Digital Twin team is hiring a senior engineer to architect a GPU‑accelerated, real‑time ray‑tracing propagation engine for 5G/6G radio simulation, covering both planning‑scale radio maps and millisecond‑cadence per‑link channel updates. The company is NVIDIA, working on foundational GPU and ray‑tracing platforms for network simulation. The role requires a PhD (or equivalent) and 8+ years of experience with CUDA, GPU ray‑tracing frameworks (OptiX, Vulkan RT, Embree), GPU spatial data structures, and knowledge of electromagnetic wave propagation. It demands deep expertise in production‑quality GPU programming and multi‑GPU scaling for sub‑millisecond performance.

About the Role
We are seeking a self‑motivated senior engineer for the Aerial Omniverse Digital Twin team. This hire will lead the design and implementation of a real‑time, GPU‑accelerated propagation engine that predicts how radio signals travel through realistic 3‑D environments — producing both per‑link 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 world‑class GPU and ray‑tracing platforms.
What You'll Be Doing
As a member of NVIDIA's Aerial team, you will architect and implement a GPU ray‑tracing engine that operates at two time scales. At the planning scale, the engine produces 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 optimise deployments. At the real‑time scale, the same engine delivers per‑link 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 real‑time ray tracing on GPU hardware — algorithms, data structures, and multi‑GPU scaling strategies that make sub‑millisecond propagation updates feasible — is the defining technical challenge of this role.
What We Need to See
•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.
Ways to Stand Out from the Crowd
•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.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 6, 2026. This posting is for an existing vacancy.
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