NVIDIA

3 months ago

Senior GPU Raytracing Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Lead the design and implementation of a real-time, GPU-accelerated propagation engine that predicts radio signal propagation in realistic 3-D environments for 5G/6G network simulation. Develop two-time-scale GPU ray-tracing: planning-scale volumetric maps and millisecond-scale per-link updates for production RAN stacks, with multi-GPU scaling and CUDA-based GPU code. Collaborate within NVIDIA’s Aerial Omniverse Digital Twin team to push foundational GPU ray-tracing tech.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Architect and implement a GPU ray-tracing engine that operates at two time scales: planning-scale volumetric radio maps and real-time per-link updates for production RAN stacks.
•Produce volumetric radio maps (coverage, SINR, best-server) at multiple resolutions, composable across cells, frequencies, and beam configurations.
•Deliver per-link multipath channel updates at millisecond cadence, using adaptive algorithms that exploit temporal coherence to avoid recomputing unchanged data.
•Lay the foundations for real-time ray tracing on GPU hardware with algorithms, data structures, and multi-GPU scaling strategies for sub-millisecond propagation updates.
•Collaborate within the Aerial Omniverse Digital Twin team to design, implement, and validate propagation engine components and contribute to production-ready GPU-based solutions.

Pay and Benefits

Salary: USD 184,000 - 356,500 annually

Equity and Bonus:Equity

Perks:Equity

Key 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 (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.

Experience:8+ years5G6GGPU computingRay tracingDigital twinTelecommunications

Education:PhD / Doctorate

Skills:CUDAGPU ray tracingOptiXVulkan RTEmbreeBVHMemory hierarchyMulti-GPU

Tech Stack:CUDAOptiXVulkan RTEmbreeBVHSpace-filling curves

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

3 months ago

Senior GPU Raytracing Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Architect and implement a GPU ray-tracing engine that operates at two time scales: planning-scale volumetric radio maps and real-time per-link updates for production RAN stacks.
•Produce volumetric radio maps (coverage, SINR, best-server) at multiple resolutions, composable across cells, frequencies, and beam configurations.
•Deliver per-link multipath channel updates at millisecond cadence, using adaptive algorithms that exploit temporal coherence to avoid recomputing unchanged data.
•Lay the foundations for real-time ray tracing on GPU hardware with algorithms, data structures, and multi-GPU scaling strategies for sub-millisecond propagation updates.
•Collaborate within the Aerial Omniverse Digital Twin team to design, implement, and validate propagation engine components and contribute to production-ready GPU-based solutions.

Pay and Benefits

Salary: USD 184,000 - 356,500 annually

Equity and Bonus:Equity

Perks:Equity

Key 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 (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.

Experience:8+ years5G6GGPU computingRay tracingDigital twinTelecommunications

Education:PhD / Doctorate

Skills:CUDAGPU ray tracingOptiXVulkan RTEmbreeBVHMemory hierarchyMulti-GPU

Tech Stack:CUDAOptiXVulkan RTEmbreeBVHSpace-filling curves

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor