NVIDIA is seeking a Senior ML Engineer to join its Metropolis team, which focuses on advancing physical AI through intelligent video analytics and perception solutions. The role involves building next-generation solutions powered by Cosmos, NVIDIA's foundation model platform. The engineer will work on real-world perception challenges and collaborate with the Cosmos team to enhance platform features. This position offers the opportunity to impact smart cities and autonomous systems significantly.

• MSc or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
• 8+ years of proven experience in applied machine learning or AI research.
• Deep expertise in deep learning fundamentals, with hands-on experience in diffusion models and generative architectures.
• Experience in pre-training or refining large language models, vision-language models, or world foundation models.
• Experience working with large-scale foundation models, including training workflows, fine-tuning techniques, and evaluation approaches.
• Experience working with simulation environments like Isaac Sim or similar platforms.
• Consistent track record of leading projects end-to-end and delivering results with clarity and accountability.
• Ability to manage and complete tasks across multiple parallel workstreams in a fast-paced, evolving environment.
• End-to-end understanding of ML development and deployment life cycle with the ability to quickly adopt and bring to bear modern AI development tools and workflows.

• Build and deliver innovative Metropolis AI solutions powered by Cosmos world foundation models, addressing real-world requirements in intelligent video analytics, perception, and physical AI.
• Identify areas where Cosmos models underperform or lack capability and recommend new solutions, including generating synthetic data and improving architecture.
• Partner with the Cosmos team to identify and prioritize new platform features guided by the Metropolis product roadmap.
• Lead the open-sourcing of solutions and research artifacts developed by the team, contributing to the broader AI and research community.
• Stay current with the latest advances in foundation models, generative architectures, and training methodologies, and actively bring relevant insights back to the team.
• Collaborate multi-functionally with Product, Program, Engineering, and Data Procurement teams to drive alignment and unblock execution.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.