Member of Technical Staff (Software Engineer, Training Infrastructure)
Perplexity
About the role
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.
Responsibilities
- Build distributed systems that orchestrate AI workloads across large-scale compute infrastructure.
- Create interfaces for designing, managing, and launching experiments.
- Build tools that make experiment results accessible to humans and agents.
- Develop platforms for reinforcement learning and agent evaluation.
Qualifications
- At least 2 years of experience developing and shipping distributed systems for compute-intensive workloads.
- Experience building reliable, scalable, and performant systems.
- Proficiency in a 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, agent evaluation, or machine learning infrastructure.
- Degree in computer science, engineering, or a related field, or equivalent practical experience.
Benefits
- Equity
- Health insurance
- Dental insurance
- Vision insurance
- Retirement plan
- Fitness account
- Commuter account
- Dependent care account
Skills mentioned
About Perplexity
The most powerful answer engine. Powering curiosity with answers backed by up-to-date sources. This is where knowledge begins.
H-1B sponsorship history
Historical employer filing data was found for Perplexity. The employer record includes 23 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.