Design and maintain large-scale distributed training systems to support multi-modal foundation models for robotics. Optimize GPU and cluster utilization for efficient model training and fine-tuning on massive datasets.
Lead your team to optimize and develop algorithms for Machine Learning and Deep Learning applications. Define and drive technical initiatives to advance the state-of-the-art in accelerated Deep Learning and Machine Learning applications.
Leading multi-functional initiatives to define safety architecture and requirements for autonomous vehicles. Delivering safety concepts and analysis to enable continuous and safe software deliveries.
Address customer and partner optimization challenges: Engage directly with prominent automotive OEMs and robotics associates to analyze, debug, and improve their deep learning models on NVIDIA platforms. We emphasize delivering solutions rather than just recommendations.
Architect end-to-end reference architectures for disaggregated inference (aligned with NVIDIA Dynamo), large-scale foundation model training, and agentic AI pipelines — co-developed with storage and ecosystem partners.
Managing a team of experienced compiler and performance engineers. Establish team objectives to meet schedules and goals. Act as a mentor and advisor to grow our next generation of leaders. Establish and evolve policies and procedures that affect the immediate organization.
Serve as NVIDIA's technical SME, engaging with internal and external stakeholders, customers, users and product teams to design developer tools, APIs, and workflows for chemistry and materials science.
Provide cross-functional Go-To Market (GTM) leadership to grow the vGPU software business. Define, document, and align the GTM team on sales strategies and execution.
Lead, hire, and develop software engineers within a collaborative unit; build a culture of ownership, engineering excellence, and direct collaboration with researchers and authorities in the field.
Crafting and implementing high-performance Vision AI pipelines for real-time and streaming scenarios using brand-new computer vision and deep learning models.
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