Senior Research Scientist, Rendering

Nvidia

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Work type
On-site
Location
Redmond, WA
Employment
Full-time
Posted
116 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $208k
$153k most similar roles pay here $264k

This listing doesn't post a salary. Most similar roles pay $174,206–$241,906.

Based on 240 similar postings.

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1391 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1116 roles with salary data.

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At a glance

TL;DR · Senior Research Scientist, Rendering

As a Senior Research Scientist, Rendering, you will join the Real-Time Graphics research team to drive the future of rendering innovation. You will be responsible for brainstorming, inventing, and productizing novel methods to improve the quality and speed of path traced imagery while implementing prototypes of your research ideas. The role involves collaborating with internal researchers and external academics to solve complex problems in physically based sampling, lighting, and denoising. To succeed, you must possess a deep understanding of rendering theory, sampling, and graphics systems. You will utilize C/C++, Python, and GPU programming models to create performant code. Your work focuses on the technical challenges of real-time path tracing for applications in games and film production, combining theoretical statistical advances with practical engineering and AI techniques to solve advanced rendering problems.

What does a Research Scientist earn?

Median $218100 from 36 postings across 12 companies.

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What you'll do

  • Invent and publish novel methods to improve path traced imagery quality and performance.
  • Develop and implement prototypes of research ideas into functional code.
  • Transfer successful research findings and technologies to NVIDIA product teams.
  • Solve complex problems in physically based sampling, lighting, and denoising.
  • Integrate theoretical statistical advances with AI techniques for rendering improvements.
  • Optimize rendering algorithms to ensure they are performant and efficient for real-time use.
  • Define team research goals and provide guidance to other researchers and interns.

What we're looking for

  • PhD or equivalent experience with a strong publication record, leadership in shipped renderers, or widely respected public presentations.
  • 10+ years of combined experience as a graduate student, industry/academic researcher, rendering engineer, or applied researcher.
  • Track record of high-quality artifacts such as shipped games, films, or publications on path tracing, sampling, lighting, and denoising.
  • Proven ability to make code performant, efficient, and real-time.
  • Deep understanding of rendering theory, sampling, and graphics systems.
  • Strong coding skills in C/C++, GPU programming models, parallel programming, and Python.
  • Understanding of and interest in advancing sampling algorithms like ReSTIR (preferred).
  • Track record of research ideation and tech transfer of productized research (preferred).

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