# Senior Systems Engineer, Neural Graphics

**Company**: NVIDIA
**Location**: Santa Clara
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Neural-Graphics-Scientist_JR2011571?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_110bbfee-66b

## Description

Computer graphics is undergoing its most significant transformation since the invention of the GPU. AI and traditional rendering are converging, opening unprecedented possibilities for real-time visual experiences. At NVIDIA, our Neural Graphics team is where groundbreaking techniques meet production systems used by millions of developers and creators worldwide.

We're looking for an outstanding engineer to be a driving force in this evolution. You'll bring deep expertise in graphics and AI to our production team, taking novel techniques and driving them through the hard last-mile engineering required to ship real products. You see research and engineering as the same work at different altitudes , and you're motivated by the systems optimization, integration challenges, and steadfast iteration that turn a promising idea into something millions of people use.

## Responsibilities:

- Take innovative world simulation techniques , like AlpaDreams , and drive them into production-ready, real-time pipelines integrated with downstream stacks

- Own the end-to-end path from prototype to shipping product , performance optimization, system integration, quality bar

- Solve the hard systems challenges , latency, memory, throughput , that stand between a research demo and a product customers depend on

- Make principled design trade-offs across the full stack , choosing the right level of complexity, identifying where a simpler approach wins, and understanding how decisions in one stage affect the rest of the pipeline

## Requirements:

- Degree in Computer Science, Computer Graphics, Machine Learning, or equivalent practical experience

- 12+ years of experience with a sustained track record of shipping impactful products or technologies

- Experience taking research concepts through the full lifecycle to production-quality systems

- Systems-level thinking , you naturally reason about end-to-end behavior, cross-cutting concerns, and why a design works, not just that it works

## Ways to Stand Out:

- Hands-on work with world models, diffusion models, LLMs, neural radiance fields, differentiable rendering, or neural content generation in shipped products or production pipelines

- Experience building scalable systems with AI agents

- Non-traditional background bringing fresh, interdisciplinary approaches (e.g., computational physics, materials science, game engine development)

- A track record of turning ambitious research into technology that actually works at scale

- You think like a systems architect , you can articulate why a design decision was made, what alternatives were considered, and what trade-offs were accepted

You will also be eligible for equity and benefits.

## Skills

### Required
- world models
- diffusion models
- LLMs
- neural radiance fields
- differentiable rendering
- neural content generation
- scalable systems
- AI agents
- computational physics
- materials science
- game engine development

---

Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Neural-Graphics-Scientist_JR2011571?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)