NVIDIA

NVIDIA

Posted via Workday

Senior GPU Raytracing Engineer

Posted Aug 5, 2026

Role at a glance

Salary
$184K – $356.5K/yr
Location
2 Locations, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
8+ years of relevant experience.
Education
PhD in computer graphics, high-performance computing, computational electromagnetics, or a closely related field (or equivalent experience).

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Role Summary

AI-generated

The Aerial Omniverse Digital Twin team is developing a real-time, GPU-accelerated propagation engine for predicting radio-signal behavior in realistic 3-D environments. The role focuses on foundational technology for 5G and 6G network simulation, producing radio maps for network planning and per-link channel updates for production RAN stacks.

What You'll Do

  • Architect and implement a GPU ray-tracing engine operating at planning and real-time scales
  • Produce volumetric radio maps for coverage, SINR, and best-server analysis across cells, frequencies, and beam configurations
  • Deliver per-link multipath channel updates at millisecond cadence
  • Develop adaptive algorithms that exploit temporal coherence to avoid unnecessary recomputation
  • Design algorithms, data structures, and multi-GPU scaling strategies for sub-millisecond propagation updates
  • Validate propagation behavior involving reflection, transmission, diffraction, and scattering

Generated from the employer's posting. Verify important details before applying.

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Qualifications

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); production-quality GPU code; proficiency in GPU-friendly spatial data structures; working knowledge of electromagnetic wave propagation phenomena; impactful publications in GPU ray tracing, real-time rendering, or deterministic propagation modelling.

Required

  • PhD in computer graphics, high-performance computing, computational electromagnetics, or a closely related field (or equivalent experience)
  • 8+ years of relevant experience
  • CUDA
  • At least one GPU ray-tracing framework: OptiX, Vulkan RT, or Embree
  • Production-quality GPU code
  • GPU-friendly spatial data structures, including BVH, space-filling curves, or hash maps
  • Memory hierarchy, occupancy, and compute-vs-bandwidth trade-offs at the kernel level
  • Electromagnetic wave propagation phenomena, including reflection, transmission, diffraction, and scattering

Preferred

  • 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

Original job description

Content provided by the employer

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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 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 May 25, 2026.

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.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.