Member of Technical Staff (Software Engineer, Model Platform)

Perplexity
San Francisco +1 more

Who this role is best for

Best suited to senior engineers with experience in distributed systems and AI infrastructure working in San Francisco or Palo Alto.

Best fit for

  • Senior engineers with experience in distributed systems and AI infrastructure who thrive in ownership-driven environments
    — “You will own and evolve our model serving platform
  • Candidates who have designed future-proof systems and are comfortable with high-velocity development
    — “designing future-proof systems that can evolve along with a rapidly advancing AI landscape

Things to consider

  • The role requires a high level of autonomy and initiative in identifying and solving problems
    — “You identify the problem, design the solution and ship it.

How to stand out

  • Highlight experience in building high-availability systems with measurable performance outcomes
    — “building and shipping large-scale systems and services with high reliability, availability, and performance.
  • Showcase leadership in technical decisions and ownership of complex projects
    — “lead high-conviction technical decisions
  • Demonstrate proficiency in Rust and Python through concrete production examples
    — “write production Rust and Python for a service that serves hundreds of millions of model requests per day.
  • Include experience with cloud infrastructure and Kubernetes in your resume and interview responses
    — “Proficiency with a general-purpose backend language (Python, Rust, C++, Go) and cloud infrastructure (AWS, Kubernetes).
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • build and ship large-scale systems
  • design future-proof systems
  • high reliability, availability, and performance
Typical background
5+ years of experience in software engineeringBS, MS, or PhD in Computer Science, Engineering, or related fields

Skills & requirements

Required

Distributed SystemsModel ServingCloud InfrastructureProduction SystemsAI

Preferred

RustPython

Stack & domain

PythonRustC++GoAWSKubernetes

About the role

Original posting from Perplexity via Ashby

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).

Source: Perplexity careers (Ashby)

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