1 day ago
Base Salary
$184k - $357k/yr
Responsibilities
- Build and deliver production-quality Metropolis AI solutions powered by Cosmos world foundation models for intelligent video analytics, perception, and physical AI.
- Identify model capability gaps and develop solutions involving synthetic data generation, tuning improvements, and architecture refinement.
- Partner with the Cosmos team to prioritize and deliver platform features aligned with the Metropolis product roadmap.
- Lead open-source releases of team-developed solutions and research artifacts.
- Track advances in foundation models, generative architectures, and training methodologies and apply relevant insights.
- Collaborate with Product, Program, Engineering, and Data Procurement teams across multiple workstreams.
Requirements
- MSc or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
- At least 8 years of experience in applied machine learning or AI research.
- Deep knowledge of deep learning, diffusion models, and generative architectures.
- Experience pre-training or refining large language models, vision-language models, or world foundation models.
- Experience with large-scale foundation-model training workflows, fine-tuning, and evaluation.
- Experience with simulation environments such as Isaac Sim or similar platforms.
- Demonstrated ability to lead projects end-to-end and deliver results across parallel workstreams.
- End-to-end understanding of the machine learning development and deployment lifecycle.
- Preferred experience with model compression, quantization, real-time inference optimization, physical AI deployments, distributed multi-node training, large-scale data pipelines, research publications, open-source contributions, CUDA, Triton, or low-level GPU kernel development.
Benefits
- Competitive salary package, equity, and benefits.
- Base salary range of 184000 USD to 287500 USD for Level 4 or 224000 USD to 356500 USD for Level 5.
- Applications accepted at least until November 2, 2026.
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.