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.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- PhD in computer graphics, high-performance computing, computational electromagnetics, or related field
- 8+ years of relevant experience
- Hands-on proficiency with CUDA and GPU ray-tracing frameworks
- Proficiency in spatial data structures and kernel-level compute optimizations
- Knowledge of electromagnetic wave propagation phenomena
- Impactful publications in related fields
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”








