Role at a glance
- Job function
-
AI & Data Machine Learning Engineering
- Salary
- Not Disclosed
- Location
- Remote - California, United States
- Work arrangement
- Remote
- Employment
- Full-time
- Experience
- 12+ years of software engineering experience, including substantial hands-on work shipping AI, deep learning, or machine learning systems.
- Education
- BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
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Role Summary
The Senior Software Engineer will build software for upcoming projects that bring world models and video diffusion models into real-time gaming. The role spans model development and optimization, engine integration, and technical leadership.
What You'll Do
- Build and ship software for projects bringing world models and video diffusion models to real-time gaming, from prototype to release.
- Train, fine-tune, and evaluate models, including curating data and adapting models to game-specific content and controls.
- Optimize models and inference for latency, token throughput, and quality 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 engineers, and collaborate with NVIDIA Research, rendering, and art teams.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required: a 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 deep learning model training and fine-tuning with PyTorch or a similar framework, including distributed training; experience in at least one of video generation, world models, diffusion or flow-matching models, transformers, or neural rendering; GPU inference optimization with CUDA, TensorRT, TensorRT-LLM, or Triton; and a track record of shipping complex prototypes and communicating across research, engineering, and art.
Required
- 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 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.
Preferred
- 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.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
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.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.