Senior Machine Learning Engineer, Cosmos Engineering
Core
Constructing production-quality AI capabilities for NVIDIA's Metropolis solutions (intelligent video analytics, perception, physical AI) powered by the Cosmos world foundation model platform.
Role type
Senior IC machine learning engineer (world foundation models & physical AI)
Builds
Metropolis AI solutions and Cosmos platform features for smart cities, industrial automation, and autonomous systems
Domain
AI / Computer Vision / Physical AI / Simulation
Deliverable
production ML models
Required skills
deep learning fundamentals, diffusion models, generative architectures, large-scale foundation model training/fine-tuning, simulation environments, end-to-end ML lifecycle management
Preferred skills
model compression/quantization, real-time inference optimization, distributed infrastructure scaling, CUDA/Triton/GPU kernel development, open-source contributions
Technologies
Cosmos, Isaac Sim, CUDA, Triton, LLMs, VLMs, WFMs
Responsibilities
Build and deliver Metropolis AI solutions using Cosmos models; Identify gaps in Cosmos capabilities and recommend solutions (synthetic data, tuning, architecture); Partner with Cosmos team to prioritize platform features; Lead open-sourcing of team artifacts; Stay current with foundation model advances; Partner multi-functionally to drive alignment
Seniority
Senior, hands-on IC
