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Perplexity Posted 30+ days ago

Member of Technical Staff (Software Engineer, Acceleration)

Location

San Francisco

Contract

Permanent

Full-time

Salary

$250–405k

Gross per year

Experience

5+ years

Mid-level level

Job summary

Responsibilities

The AI Acceleration team’s mission is to make Perplexity the best place to build and ship software with AI agents. We build the infrastructure that engineers and agents rely on, and develop new ways for agents to write, test, review, and ship code.

  • Identify, prioritize, and deliver the highest-impact opportunities to accelerate how Perplexity builds and ships software with AI.
  • Work directly with engineering and business teams to understand their workflows, constraints, and bottlenecks, and build solutions that address how they actually work.
  • Build and operate the infrastructure that engineers and agents depend on, including development environments, build and test systems, code review, and release tooling.
  • Make our codebases, systems, and internal knowledge easier for agents to navigate, understand, and use through better tooling, interfaces, documentation, and context.
  • Take agent-driven workflows from prototype to production, building the evaluations, verification, and controls needed to delegate increasingly complex engineering work safely.

What they're looking for

  • 5+ years of software engineering experience, ideally with substantial work in infrastructure, platform engineering, or developer productivity in technically complex environments.
  • Daily, hands-on use of AI models and coding tools, with practical judgment about where they perform well, where they fail, and how to verify their output.
  • Strong proficiency in one of the languages – Python, Go or Rust, along with the willingness to learn other languages as the work requires.
  • Broad familiarity with the systems used by AI product and applied research teams, including cloud infrastructure, distributed systems, data pipelines, and ML tooling.
  • An ability to understand how engineers and researchers across disciplines work, paired with curiosity about the needs of business and operations teams.

Tech stack

Read the full job posting

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