Software Engineer, Research Tooling (AI)

Location: Palo Alto, CA, United States

Company

Building a full-stack Super Intelligence stack, including compute infrastructure, frontier AI models, and applications.

What you will do

• Build and maintain full-stack applications and infrastructure for experiment setup, feedback collection, and results analysis.
• Own research product areas from user needs through design, implementation, and iteration.
• Create reusable platforms and tools that accelerate development of new research applications.
• Prototype, ship, and iterate on tools based on real-world usage.
• Partner with researchers and engineers to turn workflows and pain points into intuitive interfaces and abstractions.

Requirements

• Experience building tools, platforms, or infrastructure for technical users such as engineers, researchers, data scientists, or analysts.
• Experience shipping full-stack products and owning systems from user interface through storage or services.
• Experience with technologies such as TypeScript and React alongside Node, Python, or Go.
• Experience building dense, data-facing tools such as transcript viewers, diffing systems, review queues, observability products, or operational dashboards.
• Strong opinions about how structured data should be rendered.
• Strong product instincts and the ability to identify the right problems and move from concept to working prototype.
• Ability to move quickly under ambiguity, collaborate with researchers and domain experts, and take open-ended problems from rough need to reliable product.

Culture & Benefits

• Direct collaboration with researchers, engineers, and domain experts.
• Work on tools that accelerate the development of frontier AI models.
• Onsite work in the Palo Alto office for the role's interview and collaboration process.

Hiring process

• Two to three short technical interviews.
• Onsite interview in the office involving a small project, discussion of ideas, and meetings with the team.