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Member of Technical Staff (Software Engineer, Training Infrastructure)

Perplexity · San Francisco

remotestaff$220,000–$405,000Posted Oct 24, 2026PythonGoRustAWSKubernetesReinforcement LearningML InfrastructureContainers

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About this role

## Perplexity — Training Infrastructure (Software Engineer) Perplexity is seeking software engineers to join our **Training Infrastructure** team. We build the large-scale **RL and agent evaluation platforms** that enable Perplexity to train state-of-the-art models and optimize agent harnesses. As a full-stack engineer on this team, you’ll: - 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**, enabling everything from ad-hoc retrospectives to **closed-loop autoresearch** A strong candidate has both experience and passion for solving difficult problems at the intersection of **AI, distributed systems, and research acceleration**. --- ## 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** - Experience with **cloud infrastructure** and **container orchestration** (e.g., **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 --- ## Why Perplexity is Different - **Craftsmanship**: Build high-quality, tasteful products for both the AI native and AI curious - **Ownership**: Identify the problem, design the solution, and ship - **Entrepreneurship**: Think like founders—act with urgency and deliver for users and teammates - **Scholarship**: Work among highly talented peers, pursue knowledge and truth, and continuously uplevel teams and products - **Partnership**: Amplify each other’s strengths, break down silos, and support colleagues to deliver excellence

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