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Senior Generative AI Research Engineer

Nvidia

Full Time
Senior
224k-357k
4 days ago

Job Description

About the Role

At NVIDIA, we're not just building the future, we're generating it. Our Cosmos generative AI engineering team is pushing the boundaries of what's possible across multimodal learning, video generation, synthetic data, intelligent simulation, and agentic systems. We are looking for exceptionally driven engineers and applied scientists with deep experience in generative modeling to help define the next era of AI computing.

Key Responsibilities

  • Design, post-train, and optimize foundation models (e.g., LLMs, diffusion video models, VLMs, VLAs) for real world applications.
  • Contribute to highly-collaborative development on large-scale training infrastructure, high-efficiency inference pipelines, and scalable data pipelines.
  • Work with teams in research, software, and product to bring world models from idea to deployment.
  • Collaborate on open-source and internal projects, author technical papers or patents, and mentor junior engineers.
  • Prototype and iterate rapidly on experiments across cutting-edge AI domains, including agentic systems, reinforcement learning, reasoning, and video generation.
  • Design and implement model distillation algorithms for size reduction and diffusion step optimization.
  • Profile and benchmark training and inference pipelines to achieve production-ready performance requirements.

Requirements

  • Minimum 8 years industry or 5+ years research/postdoc experience building and deploying generative AI systems.
  • Proficiency in PyTorch, JAX, or other deep learning frameworks.
  • Expertise in one or more of: LLMs, coding agents, diffusion models, autoregressive models, VAE/GAN architectures, retrieval-augmented generation, neural rendering, or multi-agent systems.
  • Experience with large scale training (e.g., ZeRO, DDP, FSDP, TP, CP) and data processing (e.g., Ray, Spark).
  • Production-quality software engineering skills, with all work in Python.
  • MS or PhD or equivalent experience in Computer Science, Machine Learning, Applied Math, Physics, or a related field.

Nice to Have

  • Familiarity with high-performance computing and GPU acceleration.
  • Contributions to influential open-source libraries or conference publications (NeurIPS, ICML, CVPR, ICLR).
  • Experience working with multimodal data (e.g., vision-language, VLA, audio).
  • Prior work with NVIDIA GPU-based compute clusters or simulation environments.

Qualifications

  • MS or PhD or equivalent experience in relevant fields.

Benefits & Perks

  • Base salary range from $224,000 to $356,500 for Level 5, and from $272,000 to $425,500 for Level 6, depending on location and experience.
  • Eligibility for equity and benefits.
  • Application deadline: July 29, 2025.

Working at Nvidia

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. We foster a diverse work environment and are committed to equal opportunity employment.

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Job Details

Posted AtJul 25, 2025
Job CategoryData Science
Salary224k-357k
Job TypeFull Time
ExperienceSenior

Job Skills

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About Nvidia

Website

nvidia.com

Industry

Semiconductor and Related Device Manufacturing

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