Senior Principal Engineer

About

Drive innovation in distributed AI as a Senior Principal Engineer. Lead architectural development of Agentic RL and Multi-Agent Systems to build next-gen cloud serverless solutions. As a technical leader, you will define strategies for reinforcement learning and distributed systems. This role emphasizes creating adaptive AI technologies, addressing complex challenges, and establishing your influence in the academic community. Your contributions will be crucial to advancing core technical competitiveness and achieving commercial success.

Responsibilities

• Architect solutions for Agentic RL and Multi-Agent Systems
• Develop simulations for large-scale agent systems
• Optimize performance on distributed clusters
• Establish benchmarking standards for AI systems
• Collaborate with research and product teams

Requirements

• MS or PhD in related fields
• Expertise in reinforcement learning algorithms
• Experience with large-scale simulation infrastructures
• Strong programming skills in Python or C++
• Proven research impact with publications or patents

Shape the future of AI infrastructure by advancing Agentic solutions and multi-agent architectures in innovative distributed systems.