← Back to results

Member of Technical Staff (Software Engineer, Model Platform)

Join Perplexity as a staff software engineer to enhance our model serving platform, impacting AI product development.

Location
San Francisco
Compensation
Not disclosed
Level
staff
Type
full time

Posted by employer 2 weeks ago

First seen on Joblaze 2 weeks ago

Last verified on the company career page 3 hours ago

Skills & Technologies

AI in the day-to-day

You will work at the intersection of distributed systems, AI products, and infrastructure.

Requirements

Experience
5+ years
Education
Bachelor's degree

Not disclosed in this posting: compensation, work arrangement, visa sponsorship.

Joblaze summary

In this role, the engineer will focus on enhancing the model serving platform, ensuring seamless integration between AI products and inference layers. Key skills include proficiency in Rust and Python, along with experience in building reliable, large-scale systems within cloud environments. This position is ideal for seasoned professionals with a strong technical background and a passion for evolving AI technologies. Perplexity fosters a collaborative culture, emphasizing craftsmanship and ownership in product development.

Joblaze insights

Quick facts

How much experience is required?
At least 5 years of relevant experience for this Member of Technical Staff (Software Engineer, Model Platform) role.
What's the tech stack?
Joblaze extracted these technologies from the posting: AWS, Kubernetes, Python, Rust.
What seniority level is this role?
Perplexity targets staff-level candidates for this position.
Is this full-time or contract?
Full-time for this Member of Technical Staff (Software Engineer, Model Platform) role at Perplexity.

From the original posting

About Perplexity AI

In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action.

As an engineer at Perplexity, your role will be to build products and systems that define how AI empowers humans to think, decide and act. You’ll ship fast and work between both product and infrastructure advancements in our technology.

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.

About the Role

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.

Required Qualifications

  • 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).