Member of Technical Staff (Software Engineer, Training Infrastructure)
$220k - $405k • Remote • San Francisco • FullTime
Posted 6h ago
Job Location
San Francisco
Tech Stack
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
AI Infrastructure Engineer
About the job
Perplexity is seeking software engineers to join our Training Infrastructure team. This team is responsible for large-scale RL and agent evaluation platforms that enable the company to train state-of-the-art models and optimize agent harnesses. As a full-stack engineer on this team, you will build distributed systems that orchestrate AI workloads across global-scale compute infrastructure, define novel user and agent interfaces for designing, managing, and launching experiments, and create tools that make experiment results legible to humans and agents alike. A strong candidate will possess both experience and passion for solving difficult problems at the intersection of AI, distributed systems, and research acceleration.
Responsibilities
- 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 ad-hoc experiment retrospectives to closed-loop autoresearch.
Requirements
- 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.
- Experience with cloud infrastructure and container orchestration, such as AWS and Kubernetes.
- Familiarity with reinforcement learning (RL), agent evaluation, or ML infrastructure.
- 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.