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.