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AI Software Engineer, Lightspeed Studios

Role overview

Qualifications

  • BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
  • 12+ years of software engineering experience, including substantial hands-on work shipping AI, deep learning, or machine learning systems.
  • Expert-level C++ and Python.
  • Hands-on experience training and fine-tuning deep learning models with PyTorch or a similar framework.

Responsibilities

  • Build and ship software for upcoming, not-yet-announced projects that bring world models and video diffusion models to real-time gaming.
  • Train, fine-tune, and evaluate models, including data curation and adapting models to game-specific content and controls.
  • Optimize models and inference for latency, token throughput, and quality.
  • Lead technical decisions, mentor other engineers, and collaborate with NVIDIA Research, rendering, and art teams.

Key facts

Hard skills

Other skills

  • Communication
  • Mentorship
  • Collaboration

About the company

NVIDIA logo

NVIDIA

Semiconductors

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

Company details

Company typeXLarge
IndustrySemiconductors
Company size10001

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Job description

At NVIDIA Lightspeed Studios we are passionate about pushing the limits of technology, and we're looking for a Senior Software Engineer to join our team! We help shape the future of games by combining the best AI and graphics technology NVIDIA has to offer with the most advanced games and tools in the industry. In this role, you'll help take new, unannounced projects powered by state-of-the-art AI models from research to real-time, interactive gaming experiences. If you're passionate about bringing generative AI to games, we'd love to hear from you!


Some existing projects we've been working on:

  • RTX Remix is an open-source modding platform for remastering classic games with full path tracing, DLSS 4.5, and generative AI tools that turn low-resolution textures into physically based materials. Newer features like RTX Remix Logic and Advanced Particle VFX let modders add dynamic, gameplay-driven effects: https://www.nvidia.com/en-us/geforce/rtx-remix/
  • Zorah is our neural rendering tech demo for the GeForce RTX 50 Series launch at CES 2025. It features massive, fully path-traced scenes in Unreal Engine 5, powered by RTX Neural Shaders, RTX Mega Geometry, and DLSS 4: https://developer.nvidia.com/rtx-kit
  • Project R2X is a vision-enabled AI avatar for RTX PCs that can see the screen, assist with apps, and summarize documents. It is rendered with RTX Neural Faces and animated by a diffusion-based Audio2Face-3D model: https://nvidianews.nvidia.com/news/nvidia-launches-ai-foundation-models-for-rtx-ai-pcs
  • NVIDIA AI for Gaming brings conversational, autonomous game characters to life with small on-device models for speech, intelligence, and animation. It powers AI teammates in PUBG: BATTLEGROUNDS, AI citizens in inZOI, and an in-game advisor in Total War: PHARAOH: https://developer.nvidia.com/ace-for-games

What you'll be doing:

  • Build and ship software for upcoming, not-yet-announced projects that bring world models and video diffusion models to real-time gaming, from prototype to release.
  • Train, fine-tune, and evaluate models, including data curation and adapting models to game-specific content and controls.
  • Optimize models and inference for latency, token throughput, and quality, using techniques such as distillation, quantization, and reduced-step sampling on RTX devices and in the cloud.
  • Profile and remove bottlenecks across the stack, from model architecture to GPU kernels.
  • Integrate models into Unreal Engine, Unity, and custom engines, so they run efficiently alongside rendering.
  • Lead technical decisions, mentor other engineers, and collaborate with NVIDIA Research, rendering, and art teams.

What we need to see:

  • BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
  • 12+ years of software engineering experience, including substantial hands-on work shipping AI, deep learning, or machine learning systems.
  • Expert-level C++ and Python.
  • Hands-on experience training and fine-tuning deep learning models with PyTorch or a similar framework, including distributed training.
  • Experience in one or more of these areas: video generation, world models, diffusion or flow-matching models, transformers, or neural rendering.
  • Experience optimizing GPU inference with CUDA, TensorRT, TensorRT-LLM, or Triton.
  • A track record of turning complex prototypes into shipped products, and clear communication across research, engineering, and art.

Ways to stand out from the crowd:

  • Hands-on experience with interactive, action-conditioned, or real-time world models or video generation.
  • Experience developing custom CUDA or Triton kernels.
  • Experience with game engine development or real-time rendering pipelines.
  • Open-source contributions (such as Diffusers, FastVideo, vLLM, SGLang, or TensorRT-LLM), publications, or patents.

If you're motivated to join the Lightspeed Studios Engineering team, please submit your resume and a cover letter explaining your proven experience and why you'd be a phenomenal fit for NVIDIA Lightspeed. We look forward to reviewing your application and potentially welcoming you to our team.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 2, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

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