Member of Technical Staff (Software Engineer, Desktop Apps)
Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 3
Data Science @ 3
Kotlin
Machine Learning @ 3
Rust
Swift
TypeScript
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Perplexity AI is looking for experienced Generalist Software Engineers to join the Perplexity and Comet application teams. The team is reshaping knowledge work through high-impact desktop and Comet applications. Candidates should have strong programming skills and multiple years of experience shipping high-quality production software. The technology stack includes Rust, Kotlin, Swift, TypeScript, Chromium, 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 user interfaces.
- Use 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 of industry experience.
- Experience shipping high-quality native applications.
- Architecture experience writing code that is understandable by both agents and humans.
- Deep understanding of application performance.
- Ability to own projects and surfaces and push them forward proactively.
Benefits
Full-time U.S. employees receive benefits including equity, health, dental, vision, retirement, fitness, commuter and dependent care accounts, and more. Full-time employees outside the U.S. receive benefits 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 depend on factors including experience and expertise.