Member of Technical Staff (Software Engineer, AI Platform)
Perplexity · San Francisco, CA · AI
About this role
Perplexity is hiring a staff-level Staff Engineer in the software engineering function based in San Francisco, CA. The posting calls out experience with AWS, Docker, DynamoDB, Spark and roughly 5+ years of relevant work. Compensation is listed at $220,000–$405,000 per year.
- Role
- Staff Engineer
- Function
- software engineering
- Level
- staff
- Track
- Tech leadership
- Employment
- Full-time
- Location
- San Francisco, CA
- Experience
- 5+ years
- Department
- AI
- Posted
- Apr 13, 2026
More roles at Perplexity
Job description
from Perplexity careersPerplexity is seeking an experienced Software Engineer focusing on building the next-gen AI Foundation & Platform to help revolutionize the way people search and interact online. In this role, you'll help build Perplexity’s end-to-end AI data, evaluation and personalization infrastructure and flywheel which powers almost all agent products.
Tech Stack: Spark | AWS Data Stack (S3, RDS, DynamoDB, Docker, EKS, Kinesis) | Pytorch | DynamoDB | Databricks | Snowflake | LLM APIs
Perplexity is rapidly scaling both in number of use cases and number of users. Perplexity’s data stack powers scalable, personalized and fast answers for millions of people worldwide.
Responsibilities
Collaborate closely with AI Product, Applied ML, Post-Training, and Data Science teams to design, build, and maintain scalable data pipelines and data lakes
Develop high-performance infrastructure that powers personalization features including memory, discover, and agentic products
Create a scalable, multi-modal evaluation platform for all Perplexity AI products, including personalization, pro search, labs, deep research, and Comet
Design tools and abstractions on foundational infrastructure to enhance personalization, analytics, recommendations, AI products, and post-training capabilities
Holistically improve engineering foundation to support rapid growth of Perplexity products and international user base.
Qualifications
Strong programming and data engineering skills, with proficiency in open source & distributed framework(AWS, Spark, Flink, Iceberg, DynamoDB)
This is an excerpt. Read the full job description on Perplexity careers →