About the role
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. The Acceleration team's mandate is to continually up-level the way our company and our teams operate, to deliver order-of-magnitude improvements in product and user experience.
Responsibilities, requirements, fit, evidence and preparation are organized here. The original posting stays available for final verification.
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.
- Work with engineering leadership, recruiting, and others to ensure we instill an AI-forward culture and select for those who will thrive in such an environment.
What they’re looking for
Select a requirement to inspect fit, evidence or application context.
- 5 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.
How they work
- They should thrive in a hybrid role that marries facets of AI product development, infrastructure/platform engineering, developer experience, and more.
How to apply
- If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.
About Perplexity
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