Member of Technical Staff (Software Engineer, Training Infrastructure)

The role

You will build distributed systems that orchestrate AI workloads across global-scale compute infrastructure. You will also define user and agent interfaces for designing, managing, and launching experiments.

What you will do

• Build distributed systems that orchestrate AI workloads across global-scale compute infrastructure
• Define novel user and agent interfaces for designing, managing, and launching experiments
• Create tools that make experiment results legible to humans and agents

Required qualifications

• 2+ years of experience developing and shipping distributed systems for compute-intensive workloads
• Proficiency in a general-purpose backend language such as Python, Rust, C++, or Go
• Experience with cloud infrastructure and container orchestration, such as AWS and Kubernetes
• BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience

Nice to have

• Familiarity with reinforcement learning (RL), agent evaluation, or ML infrastructure
• An interest in building systems that accelerate experimentation and model development

About the company

Perplexity builds high quality, tasteful products targeting both the AI native and AI curious.