Software Engineer Member of Technical Staff, Perplexity

• Typically 8+ years of professional software engineering experience, with a track record of owning and delivering complex products or systems from conception to production. Exceptional candidates with less experience and an outstanding record of impact are encouraged to apply
• Strong full-stack engineering fundamentals, including experience building user-facing products, backend services, and scalable distributed systems that serve high traffic and large user bases
• Strong product judgment and instincts; you turn vague needs into simple, reliable systems and ship without waiting for perfect specs
• Comfort with data-informed decisions; you define the metrics and evals that prove a system works, and iterate on them
• Experience designing abstractions, platforms, or reusable systems that enable other engineers, users, or automated systems to accomplish complex tasks
• Strong execution: you can take ambiguous product needs, break them down, and ship durable systems with clear user impact
• Genuine interest in frontier AI capabilities, agent systems, and excitement for rapidly exploring, evaluating, and productizing new model behaviors

Desirable

• Tech Stack: Python | Go | PostgreSQL | DynamoDB | AWS | TypeScript | React
• Investigate emerging frontier-model behaviors and identify opportunities to turn them into product capabilities. Help define how advances in reasoning, planning, memory, learning, and agent collaboration appear in the product
• Build and evolve Skills, Workflows, and Artifacts into a coherent ecosystem. Shape the architecture, abstractions, and product experiences that enable both users and agents to compose increasingly sophisticated solutions for complex real-world tasks
• Own capabilities end-to-end, from user-facing products and interfaces to backend services, evaluation, data models, and production operations
• Build scalable platform infrastructure and backend systems that power capability execution, sharing, and lifecycle management across high volume user and agent interactions
• Collaborate closely with PM, Design, Data Science, Sales, Research, to identify high-impact opportunities in both consumer and enterprise customer experiences, validate emerging capabilities, and translate complex agent behaviors into simple, reliable product experiences
• Set technical direction on ambiguous problems and raise the bar through design reviews, mentorship, and technical leadership