**Who this is for** A highly technical engineer with a PhD or equivalent expertise in computer graphics, high-performance computing, or electromagnetics, focusi
Work type: remote
Location: US, CA, Santa Clara | US, CA, Remote
Salary: $184,000 – $356,500/yr
Type: Full-time
**Who this is for** A highly technical engineer with a PhD or equivalent expertise in computer graphics, high-performance computing, or electromagnetics, focusing on real-time simulation. **Key highlights** You will architect and implement a GPU-accelerated ray-tracing engine designed to predict radio signal propagation for 5G and 6G digital twins, operating at both planning and real-time millisecond cadences. **You might be a good fit if you...** - Have 8+ years of experience in production-quality GPU development using CUDA and ray-tracing frameworks like OptiX or Vulkan RT. - Understand memory hierarchy, compute vs. bandwidth trade-offs, and GPU-friendly spatial data structures. - Possess foundational knowledge of electromagnetic propagation phenomena and a track record of high-impact research or publications.
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:
You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/).
Applications for this job will be accepted at least until April 26, 2026.
This posting is for an existing vacancy.
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