Staff Software Engineer, AI Training Infra & Experiments

Candidate; San Francisco (CA); Sur place; USD 140 000 - 190 000; Plein temps

Résumé du poste

Perplexity is seeking software engineers to join our Training Infrastructure team, building distributed systems that orchestrate AI workloads across global-scale compute infrastructure. You’ll design interfaces to manage experiments and create tools that render results accessible to humans and agents alike.

A strong candidate will have experience solving hard problems at the intersection of AI, distributed systems, and research acceleration, with a passion for craftsmanship and ownership.

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.

Responsabilités

• 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 alike, enabling retrospectives and autoresearch.
• Collaborate on shaping the platform at the intersection of AI, distributed systems, and research acceleration.

Connaissances

Distributed systems

Backend development

Python

Rust

C++

Go

AWS

Kubernetes

Formation

BS/MS/PhD in Computer Science or Engineering

Outils

Kubernetes

AWS

Description du poste

Perplexity is seeking software engineers to join our Training Infrastructure team, building distributed systems that orchestrate AI workloads across global-scale compute infrastructure. You’ll design interfaces to manage experiments and create tools that render results accessible to humans and agents alike.

A strong candidate will have experience solving hard problems at the intersection of AI, distributed systems, and research acceleration, with a passion for craftsmanship and ownership.