Software Solutions Architect - NVIS

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 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.

At NVIDIA, we are working with the latest technology, pushing boundaries and redefining what’s possible in the world of AI. Our team is passionate, driven, and committed to solving the most challenging problems with innovative solutions. As a Software Solution Architect for NVIS, you will play a crucial role in helping us build and deploy world-class AI and machine learning solutions. Join us in Israel and be part of a team that is making a significant impact on the future of computing!

What You'll Be Doing

• Helping our customers deploy cloud-native software stacks, such as NVIDIA AI, to embed guidelines in machine learning operations.
• Collaborating closely with infrastructure admins, data scientists, and ML engineers to deploy tools like NVIDIA Run:ai and NVIDIA Mission Control.
• Integrating NVIDIA software into customers’ existing ML ops environments and developing scripts to streamline these processes.
• Diagnosing and resolving customer issues within sophisticated cloud-native environments, applying profiling and analysis tools to improve deep learning model performance.
• Working with internal collaborators, including Pre-Sales Solution Engineers, Account Managers, and Product teams, to understand business requirements and provide technical insights.
• Developing new tools and scripts to facilitate seamless integration with other Data Science tools.
  
  

• A minimum of 3 years of experience in a customer-facing role.
• A B.Sc in Computer Science or equivalent experience.
• Proven experience presenting to technical audiences and crafting technical content for developers.
• Proficiency in Linux/Unix Operating Systems.
• Hands-on experience with Kubernetes and containerization technologies like Docker.
• Demonstrated experience in software development.
• Certification as a Kubernetes Administrator (CKA).
• Experience with AI and ML tools.