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# Member of Technical Staff (Software Engineer, Model Platform)

- **Company:** PERPLEXITY LLC
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, C++ (Programming Language), Cloud Computing, Distributed Systems, Systems Theories, Python (Programming Language), Perplexity AI, Software Engineering, Rust (Programming Language), Backend, Kubernetes, Information Technology, Golang
- **Published:** November 4, 2026
- **Apply:** https://www.careerbuilder.com/job-details/member-of-technical-staff-software-engineer-model-platform-san-francisco-ca--f5e157fa-985a-45fb-bac9-750688750583

## About the Role

Software Engineering, Artificial Intelligence (AI), Product Development, Identify Issues, Scholarship, Power Amplifier, Software Engineering, Distributed Computing, Product Shipments, Production Systems, * 5+ years of experience building and shipping large-scale systems and services with high reliability, availability, and performance.

 * Strong software engineering craft, with special care for developer experience and designing future-proof systems that can evolve along with a rapidly advancing AI landscape.
 * Proficiency with a general-purpose backend language (Python, Rust, C++, Go) and cloud infrastructure (AWS, Kubernetes).
 * BS, MS, or PhD in Computer Science, Engineering, or related fields (or equivalent experience).

## Description

Perplexity is looking for a deeply technical software engineer to own and evolve our model serving platform, which is responsible for connecting our products and research systems with our inference layers. This mission-critical system gives teams one fast, reliable interface across providers.

You will work at the intersection of distributed systems, AI products, and infrastructure. You will make it dramatically easier for teams across Perplexity to adopt new models, run rigorous experiments, and ship dependable products.

The ideal candidate combines sound technical judgment forged in production systems with active curiosity around the rapidly changing capabilities and failure modes of frontier models. You will design core abstractions, lead high-conviction technical decisions, and write production Rust and Python for a service that serves hundreds of millions of model requests per day.