Join Perplexity AI as a Software Engineer to develop high-impact desktop applications with a focus on performance and user experience.
Posted by employer 2 weeks ago
First seen on Joblaze 1 week ago
Last verified on the company career page 46 minutes ago
Skills & Technologies
AI in the day-to-day
Utilize Perplexity Computer and other Agentic coding tools to accelerate development.
Requirements
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
In this role, the engineer will focus on developing and enhancing desktop applications, collaborating closely with product and design teams to create user-friendly interfaces. Proficiency in languages such as Rust, Kotlin, Swift, and Typescript is essential, along with a solid understanding of app performance and architecture. This position is ideal for seasoned software engineers with a track record of delivering high-quality applications and the ability to navigate multiple codebases. Perplexity AI emphasizes a collaborative environment, integrating efforts across various teams to drive innovation.
Joblaze insights
Quick facts
From the original posting
Perplexity AI 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