Member of Technical Staff (Software Engineer, Acceleration)Active$250K–$405K

The opportunity

Perplexity is seeking creative, AI-pilled engineers to join our Acceleration team. Our company is reshaping the way people navigate the internet and the wider world.

What you'll do

  • Identify, prioritize, and execute on the highest-potential opportunities to: accelerate Perplexity’s delivery cadence with frontier AI capabilities.

  • Develop empathy for the nuances of our technical and business teams’ work: across disciplines and verticals, toward collaborating with them to harness AI in new ways.

  • Make our codebases, systems, and knowledge stores legible to AI.

  • Help the company triangulate toward the optimal point on the quality-velocity: Pareto frontier, while shifting that frontier outward with AI tools and agents.

  • Keep abreast of new AI tools/models and make maximally effective use of them: in your own work, setting an example across the company and inspiring others to do the same.

  • Help the company make high-conviction bets on specific technologies in: situations where indecision is a comfortable and tempting default.

What they're looking for

  • to 15+ years of industry experience, ideally with a substantial portion: focused on infrastructure/platform engineering or developer acceleration in environments featuring significant technical complexity.
  • Daily use of AI models/tools, along with strong intuition on their jagged frontiers.
  • Proficiency with Python, along with experience and/or desire to learn more: about Rust, TypeScript, Go, and other languages.
  • Strong understanding of (and empathy for) the work of technical staff across: disciplines, along with an enthusiasm to learn about the work of business and operations teams.
  • Broad working knowledge of the typical stacks used by AI product & applied: research companies. (For example: you don’t need to have experience hand-rolling CUDA kernels, but you should know what CUDA is and when/where/why it’s used.)
  • An obsession with improving the legibility of (and reducing brittleness in): both software and human-orchestrated processes.
  • Experience navigating tricky exploration-exploitation tradeoffs, balancing: the need to ship today with the need to build capacity for tomorrow.