Job at Perplexity
Member of Technical Staff (Software Engineer, Desktop Apps)
- Employer
- Perplexity
- Location
- Belgrade · New York City · Remote (United States) · San Francisco
- Workplace
- hybrid
- Employment
- full-time
- Department
- AI Products
- Salary
- $200,000 to $400,000 per year, as the employer lists it
- Last published
- First listed on USASI
Apply on Perplexity’s site (external site)View the posting on Perplexity’s job board (external site)
This posting comes from Perplexity’s own Ashby job board. USASI checks that board every day and removes this page once the employer closes the posting. The description below is Perplexity’s text as published; USASI does not edit it, does not recruit, and does not take applications. How jobs are collected.
Job description
Perplexity is looking for experienced Generalist Software Engineers to join our Perplexity and Comet application teams. Our team is reshaping knowledge work through our high-impact desktop and Comet apps. The ideal candidate should have strong programming skills and multiple years of experience shipping high-quality, production software.
Our stack spans several different skillsets, including Rust, Kotlin, Swift, Typescript, Chromium and Perplexity’s core AI stack. We have found that our strongest engineers are capable of working across multiple codebases and ramping up quickly, and we expect the same high bar for candidates.
Responsibilities
- Work closely with product teams to implement novel mobile experiences.
- Work closely with design teams to design fast and intuitive UI.
- Utilize Perplexity Computer and other Agentic coding tools to accelerate development.
- Collaborate with data science and machine learning teams to instrument, analyze, and improve the end-to-end experience.
- Work with infrastructure and QA teams on deployment processes, including testing, release, and monitoring.
Requirements
- 4+ years industry experience
- Experience in shipping high-quality native applications
- Architecture experience in writing code understandable by both agents and humans
- Deep understanding of app performance
- Ability to own projects and surfaces, and to push them forward proactively
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