NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by a great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAn, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

NVIDIA is looking for an expert Senior Responsible AI Architect to join its Infrastructure, Planning and Processes organization, with creativity and passion to take NVIDIA's lead in AI to the next level! In this role, you will deliver cross-organizational impact by defining, enhancing, championing, rolling out and supporting a Responsible AI focused Machine Learning (ML) Development Life Cycle (MLDLC) process and toolchain, which will be applied by thousands of engineers on all ML and DL (Deep Learning) NVIDIA projects, ranging from LLM (Large Language Models) foundational models, Computer Vision (CV), Speech, Automotive, Robotics to Biology.

• Define and enhance NVIDIA's AI development process and toolchain, for models, datasets, NIMs (NVIDIA Inference Microservices) and SW, to achieve ethical and trustworthy AI products, by specifying required activities, guidelines, templates, metrics, and compliance checklists across model requirements, architecture, training, verification, release, operations, and end-of-life.
• Engage with technical leads, managers, project owners, and security architects of AI teams to identify areas where MLDLC and toolchain can be made more robust, clear, usable, flexible and efficient.
• Prepare and contribute in developing an MLDLC and Responsible AI toolchain roadmap for non-discriminatory, transparent, explainable, safe, robust and secure AI models and SW.
• Craft strategies and automation plans with AI model and dataset teams.
• Influence multiple project teams to embrace and partner in continuous improvement of Responsible AI methods and toolchain.
• Develop and deliver training on MLDLC and tools.
• Gather and address questions, issues, change requests and drive them to closure.
• Drive compliance of MLDLC across teams. Define and achieve key performance metrics.

• 5+ years recent experience as an ML engineer, data science engineer, or similar with 12+ overall years of professional experience.
• Demonstrated ability in driving the planning and/or execution of engineering life cycle processes, and in releasing commercial products.
• An understanding of the pressures that engineering teams face.
• Experience in evaluating and driving adoption of new life cycle process workflows.
• Master's or PhD degree in Computer Science, Electrical Engineering, or a related field (or equivalent experience).
• Proven experience in machine learning and deep learning algorithm development.
• Strong knowledge of frameworks such as TensorFlow and PyTorch.

• Experience in leading medium to large cross-organizational, corporate-wide programs and projects, and in influencing process improvements.
• Background in developing or in leading AI projects from concept to EOL (End of Life).
• Experience in Trustworthy AI or Responsible AI.
• Experience in bringing a novel, never-done-before project to a good end.
• Understanding and hands on experience in Large Language Models, Natural Language Processing, Computer vision, Image Processing, and other generative AI techniques.