Periodic Labs

Periodic Labs

Product Engineer

Menlo Park

H1B sponsorship available$250k-$350kDetected 251 days ago
Agentic AI

About the role

  • The right person for this role is excited to define what the working interface between scientists and AI should actually look like.
  • You'll turn cutting-edge models into products that become part of real scientific workflows, both inside Periodic and in customer environments.
  • As one of our first product hires, you'll help define product engineering at Periodic: technically deep, ambitious in scope, and tightly coupled to real scientific work.

Responsibilities

  • Build agentic products and interfaces on top of our frontier models and scientific data, including copilots, experiment planning systems, workflow automation, operational tools, and new interaction patterns that go beyond chat
  • Design how scientists direct, supervise, and collaborate with AI agents across experiment planning, execution, analysis, and decision-making
  • Own the product end to end, from data model and backend systems to APIs, user experience, deployment, and observability
  • We're building a team of the world's best - the scientists, engineers, and problem-solvers who don't just follow the frontier but define it.
  • We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond.

Requirements

  • Bachelor's degree or similar experience

Compensation

  • $250,000-$350,000 base + equity

Benefits

  • Minimum education: Bachelor's degree or similar experience
  • Compensation: $250,000-$350,000 base + equity

Company info

  • Prototype quickly and ship continuously - build high-leverage products that become part of scientists' daily workflow, then refine them through direct feedback from the lab and from customers

Visa & Work Authorization

  • Yes, we sponsor visas and will do everything we can to assist in this process.

This listing is sourced directly from Periodic Labs's careers page and normalized into a canonical job model.