Perplexity
Software Engineer, Training Infrastructure
- Location
- San Francisco, United States
- Job type
- Full-time
- Seniority
- Mid
- Function
- Engineering
- Industry
- AI
- Salary
- $220,000–405,000 / year
The San Francisco AI company trains state-of-the-art models and builds agent harnesses, and its Training Infrastructure team is hiring full-time software engineers. The role covers distributed systems for compute-intensive AI workloads and tools for designing and launching experiments. Candidates need 2+ years shipping distributed systems and experience with Python, Rust, C++, or Go.
What the job asks for
- Has 2+ years of developing and shipping distributed systems for compute-intensive workloads
- Is proficient in a general-purpose backend language such as Python, Rust, C++, or Go
- Has experience with cloud infrastructure and container orchestration, such as AWS and Kubernetes
- Is familiar with reinforcement learning, agent evaluation, or ML infrastructure
- Holds a BS, MS, or PhD in Computer Science, Engineering, or a related field, or has equivalent practical experience
Read the full job descriptionHide the full job description
Member of Technical Staff (Software Engineer, Training Infrastructure)
Perplexity · San Francisco, California, United States · full time
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. You’ll also define novel user and agent interfaces for designing, managing, and launching experiments. You’ll create tools that make experiment results legible to humans and agents alike, enabling everything from ad-hoc experiment retrospectives to closed-loop autoresearch. And much more!
A strong candidate will possess 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, 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.
Why Perplexity is different
Craftsmanship . We build high quality, tasteful products targeting both the AI native and AI curious.
Ownership . You identify the problem, design the solution and ship it.
Entrepreneurship . We think like founders, act with urgency, and hustle to deliver for each other and our users.
Scholarship . Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
Partnership . We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
