Nvidia is hiring a
Senior Architect, Machine Learning Life Cycle Process
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 phenomenal 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 Architect, Machine Learning (ML) Life Cycle Process 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 Machine Learning (ML) Development Life Cycle (MLDLC) process across all ML and DL (Deep Learning) NVIDIA projects, across thousands of engineers, through engagement with diverse ML projects ranging across LLM (Large Language Models) foundational models, Computer Vision (CV), Speech, Automotive, Robotics and Biology.
What you will be doing:
Be an effective leader in crafting and driving adoption of an efficient MLDLC striving to enable engineering teams in delivering pioneering, high quality, reusable, reproducible and ethical AI models, datasets, SDKs and AI SW. You will:
Define and enhance the development process for AI Models and Datasets, including 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 can be made more robust, clear, usable, flexible and efficient.
Prepare and contribute in developing an MLDLC roadmap.
Craft strategies and automation plans with AI model and dataset teams.
Influence multiple project teams to embrace and partner in continuous improvement of MLDLC.
Develop and deliver training on MLDLC.
Capture and address questions, issues, change requests and drive them to closure.
Drive compliance of MLDLC across teams. Define and achieve key performance metrics.
Regularly communicate the program status and key issues to management.
Navigate and complete sophisticated projects and processes on time with minimal input.
What we need to see:
6+ years recent experience as an ML engineer, data science engineer, or similar.
3+ years experience in driving the planning and/or execution of engineering life cycle processes, and in releasing commercial products.
You understand the pressures that engineering teams are under, allowing you to efficiently lead them in projects as well as processes.
Experience in evaluating and driving adoption of new life cycle process workflows.
Experience in leading global projects.
BS/MS Computer Science or equivalent experience.
Ways to stand out from the crowd:
Experience in leading medium to large cross-organizational, corporate-wide programs and projects, and in influencing process improvements.
Background in developing or in leading projects in the areas of AI models, datasets, or AI SW from concept to EOL (End of Life).
Experience in Honest AI or Responsible AI.
Experience in bringing a novel, never-done-before project to a good end.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. With competitive salaries and comprehensive benefit package. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous, we want to hear from you!The base salary range is $176,000 - $333,500. 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.
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