Senior Software Engineer - AI Infrastructure

About the Role

Join the NVIDIA GPU Cloud (NGC) team and make a difference in advancing AI/ML development. As a Senior Software Engineer, you'll be at the forefront of building scalable, reliable, and secure AI infrastructure. This is an opportunity to work on cutting-edge technologies and contribute to a platform that empowers researchers and developers worldwide.

What you'll be doing:

• Design, develop, and maintain highly scalable and reliable distributed systems for AI/ML workloads.
• Implement and optimize services using C++, Python, and Go.
• Work with container orchestration technologies like Kubernetes and Docker.
• Develop and integrate APIs using technologies like gRPC.
• Manage and optimize data storage solutions (SQL/NoSQL).
• Troubleshoot and debug complex issues across various layers of the infrastructure.
• Collaborate with cross-functional teams to define and implement new features.
• Contribute to the overall architecture and design of our cloud-based AI platform.
• Mentor junior engineers and promote best practices in software development.

What we need to see:

• BS or MS in Computer Science, Computer Engineering, or a related field.
• 5+ years of experience in software development, with a focus on building large-scale distributed systems.
• Proficiency in C++, Python, or Go.
• Strong understanding of Kubernetes and containerization technologies.
• Experience with cloud platforms and microservices architecture.
• Solid grasp of data structures, algorithms, and object-oriented design.
• Ability to work in a fast-paced, agile development environment.
• Excellent problem-solving and debugging skills.

Ways to stand out from the crowd:

• Experience with machine learning frameworks and AI development tools.
• Familiarity with various data storage solutions (e.g., object storage, distributed file systems).
• Contributions to open-source projects.
• Strong communication and interpersonal skills.