Senior GPU Raytracing Engineer

Details

We are seeking a self-motivated senior engineer for the Aerial Omniverse Digital Twin team. This role will lead the design and implementation of a real-time, GPU-accelerated propagation engine that predicts how radio signals travel through realistic 3D environments. The engine will produce per-link channel characterisations and radio maps at the speed required by production RAN stacks, supporting foundational technology for 5G and 6G network simulation using NVIDIA GPU and ray-tracing platforms.

Responsibilities

• Architect and implement a GPU ray-tracing engine operating at two time scales.
• Produce volumetric radio maps, including coverage, SINR, and best-server maps at multiple resolutions, composable across cells, frequencies, and beam configurations.
• Deliver per-link multipath channel updates at millisecond cadence for production RAN stacks.
• Develop adaptive algorithms that exploit temporal coherence to avoid recomputing unchanged data.
• Design algorithms, data structures, and multi-GPU scaling strategies enabling sub-millisecond propagation updates.
• Build real-time ray-tracing foundations on GPU hardware.

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

Preferred Qualifications

• 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 and Benefits

• Base salary range of USD 184,000–287,500 for Level 4.
• Base salary range of USD 224,000–356,500 for Level 5.
• Eligibility for equity and benefits.
• Salary is determined based on location, experience, and the pay of employees in similar positions.
• Applications will be accepted at least until May 25, 2026.
• NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.