Senior Responsible AI Architect

Details

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.

Responsibilities

• Be an effective leader in crafting and driving adoption of an efficient Machine Learning Development Life Cycle (MLDLC) with emphasis on Responsible AI practices and a toolchain, striving to enable engineering teams in delivering innovative, high quality, reusable, reproducible and ethical AI models, datasets, SDKs and AI software.
• Define and enhance NVIDIA's AI development process and toolchain, for models, datasets, NIMs (NVIDIA Inference Microservices) and software, 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 software.
• 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.

Requirements

• 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.

Benefits

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family at www.nvidiabenefits.com. The base salary range is 220,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis and is committed to fostering a diverse work environment.