Nvidia Principal Software Architect - Federated AI 

United States, California 

921603027

), you will advance federated AI with innovative decentralized AI solutions. Your work will drive the next wave of innovation, empowering organizations to unlock the full potential of their data while maintaining the highest standards of security and privacy.

What you’ll be doing:

• Collaborate with AI researchers and industry leaders to architect future-proof federated computing infrastructure.

• Lead the design and development of cutting-edge federated computing system that enable secure, large-scale distributed AI.

• Optimize platform performance, scalability, security, privacy, reliability, and ease of use for enterprise deployments.

• Drive architectural innovations that accelerate federated learning adoption across research communities and industries worldwide.

• Mentor junior engineers and establish engineering excellence through best practices, fostering a culture of continuous innovation.

What we need to see:

• BS, MS, or PhD in Computer Science, Electrical Engineering, or related field (or equivalent experience).

• 15+ years of experience in distributed systems development and architecture.

• Proven track record of designing, developing, and evangelizing distributed software platforms.

• Deep knowledge of distributed systems: design patterns, workflows, networking, and implementation.

• Expert-level programming skills in Python and C++.

• Strong expertise in networking and enterprise security.

• Excellent system and API design capabilities.

• Strategic technical leadership with ability to drive long-term vision beyond tactical execution.

• Outstanding communication and collaboration skills.

• Self-motivated with proven ability to deliver high-quality solutions independently

• Experience contributing to major open-source projects is a plus.

• Experience with federated learning frameworks (FLARE, Flower, OpenFL, FedML, PySyft) is plus

• Knowledge of ML/DL frameworks (PyTorch, TensorFlow) is a plus.

Ways to stand out from the crowd:

• Proven architecture experience in major open-source projects.

• Track record of designing, developing, and evangelizing distributed ML infrastructure.

• Strong sense of user-friendly API design and developer experience.

• Deep expertise in distributed PyTorch architecture, design principles, and implementation tradeoffs is a strong plus