About The Position
NVIDIA Cosmos is an open omni-model platform of generative world foundation models (WFMs) designed to accelerate physical AI. By combining world generation, physical reasoning, and action generation into unified systems, Cosmos helps developers simulate physical environments and train robots, autonomous vehicles, and smart spaces. The team's mission is to build the foundational platform for Physical AI ecosystem enablement, empowering developers to create, train, evaluate, and deploy Physical AI systems through open frontier models and open SOTA training and data curation frameworks.
Requirements
- A Masters in Computer Engineering, Computer Science, Electrical Engineering or related STEM degree or equivalent experience.
- 5 years of relevant work experience
- Expertise in working with large scale parallel and distributed accelerator-based system systems
- Expertise optimizing performance and AI workloads on large scale systems.
- Experience with performance modeling and benchmarking at scale
- Proficiency in Distributed PyTorch; Python, C/C++.
- A strong background in Computer Architecture, Networking, Storage systems, Accelerators
- Understanding of DNNs and their use in emerging AI/ML applications and services
- Expertise with at least one of public CSP infrastructure (GCP, AWS, Azure, OCI, …)
- A deep understanding of World Foundation Models and their application to Physical AI
- Experience developing infrastructure to automate multimodal data ingestion and curation.
Nice To Haves
- Experience driving tokenization and data set preparation is a plus.
- Prior experience building transformer models (autoregressive and diffusion) or building the framework for and driving Post training - fine tuning and RL algorithms
- Understanding of how to optimize for inference - export, quantization and containerization
- Familiarity with popular AI frameworks (TensorFlow, JAX, Cosmos, Megatron-LM, Tensort-LLM, VLLM) among others.
- Proficiency in CUDA
- Very high intellectual curiosity
- Confidence to dig in as needed
- Not afraid of confronting complexity
- Able to pick up new areas quickly with excellent interpersonal skills
Responsibilities
- Building SoTA, World foundation models (like Cosmos3)
- Engage with driving end to end performance analysis and drive HW-SW codesign for both the data center infrastructure and Edge deployments
- Engage with customers to ensure the Cosmos models are easy to use and enabling the ecosystem
- Develop infrastructure to improve and automate the entire process of data ingestion, curation, pre-training, post-training, Export/quantization and deployment on the edge
- Design for robustness and fault tolerance
Benefits
- equity
- benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
