Staff Software Engineer - AI Infrastructure & Experiments

Wwshemi; San Francisco (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Perplexity is seeking software engineers to join our Training Infrastructure team. We're responsible for the large-scale RL and agent evaluation platforms that enable Perplexity to train state-of-the-art models and optimize agent harnesses.

We are full-stack engineers with a broad remit. If you join us, you'll build the distributed systems that orchestrate AI workloads across global-scale compute infrastructure.

Qualifications

• 2+ years of experience developing and shipping distributed systems for compute-intensive workloads, with a focus on reliability, scalability, and performance.
• Proficiency in a general-purpose backend language such as Python, Rust, C++, or Go, and experience with cloud infrastructure and container orchestration, such as AWS and Kubernetes.
• Familiarity with reinforcement learning (RL), agent evaluation, or ML infrastructure, and an interest in building systems that accelerate experimentation and model development.
• BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience.

Skills

Distributed systems

Python

Rust

C++

Go

AWS

Kubernetes

Reinforcement learning

ML infrastructure

Education

BS/MS/PhD in CS/Engineering

Job description

Perplexity is seeking software engineers to join our Training Infrastructure team. We're responsible for the large-scale RL and agent evaluation platforms that enable Perplexity to train state-of-the-art models and optimize agent harnesses.

We are full-stack engineers with a broad remit. If you join us, you'll build the distributed systems that orchestrate AI workloads across global-scale compute infrastructure.