About The Position

As the need for scaling data becomes the core bottleneck to progress, moving from general knowledge to domain expertise, and from chatbots to agents. Abundant is solving this by designing and operating simulation infrastructure where next-generation models learn to reason and solve complex problems. Our team is composed of high-impact former founders, ML engineers, roboticists, and data leads from companies like Waymo and Google, with experience deploying models at 1B user scale. We partner with a majority of the top AI labs, frontier startups, and F500 enterprises to enable AGI, ASI, and physical intelligence.

Requirements

  • Deep understanding of evaluations, RL, and how LLMs and Agents work.
  • Able to read papers and keep up with SOTA literature.
  • Extreme agency and a founder mentality; resourceful and scrappy.
  • Leverage creativity and research skills to design projects from the ground up.
  • Highly proficient with coding agents such as Codex or Claude Code.

Responsibilities

  • Build, scale, and deploy projects.
  • Transition seamlessly between customer-facing products and internal infrastructure.
  • Take over key parts of the core simulation engine, adding new features or improving performance.
  • Drive key metrics such as throughput and cost.
  • Ensure software can scale to 10B+ events and tens of thousands of monthly users (both human and virtual).
  • Establish engineering culture as the technical team scales.
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