Member of Technical Staff (Software Engineer, Computer)

Perplexity • Palo Alto, CA

1d

About The Position

By applying to this role, you will be considered for engineering roles across all teams at Perplexity. We are hiring builders to join our highly leveraged engineering team for creating new products that innovate and accelerate human productivity. In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. As an engineer at Perplexity, your role will be to build products and systems that define how AI empowers humans to think, decide and act. You’ll ship fast and work between product, infrastructure and frontier level advancements in technology. Perplexity is different due to its focus on Craftsmanship, Ownership, Entrepreneurship, Scholarship, and Partnership. The company's mission is to power curiosity, enabling people to learn, build, and integrate, driving change through a continuous cycle.

Requirements

• 4+ years of professional software engineering experience.
• Strong experience in at least one general-purpose programming language such as Python, Go, TypeScript, JavaScript, Swift, Rust, Java, or C++.
• Experience building and operating production systems at a meaningful scale.
• Strong product judgment and the ability to translate user problems into simple, effective technical solutions.
• Genuine interest and adoption of AI products and willingness to learn quickly.

Nice To Haves

• Experience with LLMs, agents, retrieval systems, personalization, or evaluation frameworks.
• Time spent at a fast-growing startup or on a high-ownership engineering team.
• Founded a company or initiative.

Responsibilities

• Design, build, and own product and platform systems for Computer
• Lead features, projects and products end-to-end, from problem definition to technical design, implementation, and launch.
• Hill climb on hard problems, continuously iterating to improve for ourselves and customers.
• Partner closely with engineers, product managers, designers, data scientists, and go-to-market teams.
• Build systems that take into account the nuances of AI, working with agents, context, evaluation, personalization and the ground truth.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed