Member of Technical Staff (Software Engineer, Comet and Native Apps)

USD 200,000-400,000 per year
MIDDLE
✅ Remote ✅ On-site

Used Tools & Technologies

Not specified

Required Skills & Competences

Kotlin @ 3 TypeScript @ 3 Machine Learning @ 3 Data Science @ 3 Rust @ 3 QA @ 3 Swift @ 3 AI @ 3

Details

Perplexity AI is looking for experienced generalist software engineers to join the Comet and Perplexity native application teams. The team is reshaping knowledge work through high-impact Comet and Perplexity native apps.

The ideal candidate has strong programming skills and multiple years of experience shipping high-quality, production software. The stack spans Chromium, Rust, Kotlin, Swift, TypeScript and Perplexity’s core AI stack. Engineers are expected to work across multiple codebases and ramp up quickly.

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 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

Benefits

  • U.S. Benefits: Full-time U.S. employees enjoy a comprehensive benefits program including equity, health, dental, vision, retirement, fitness, commuter and dependent care accounts, and more.
  • International Benefits: Full-time employees outside the U.S. enjoy a comprehensive benefits program tailored to their region of residence.
  • USD salary ranges apply only to U.S.-based positions. International salaries are set based on the local market. Final offer amounts are determined by multiple factors, including experience and expertise, and may vary from the amounts listed above.