- Abundant
- San Francisco, CA
- Full-Time
- 86 days ago
- $135,000–$220,000
Member of Technical Staff, Platform Engineering.
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Member of Technical Staff, Platform Engineering: our view in 3 lines...
- The Role:This role is for a platform engineering specialist building simulation infrastructure for AI models and agents.
- The Person:The person will build, scale, and deploy projects, take over key parts of the core simulation engine, improve performance, and help establish the engineering culture.
- Requirements:The ideal candidate has a deep understanding of evaluations, RL, how LLMs and Agents work, and is highly proficient with coding agents such as Codex or Claude Code.
About the role
ABOUT ABUNDANT
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.
THE ROLE
As a Member of Technical Staff, you will work directly with the Head of Engineering to build, scale, and deploy projects. You'll be expected to transition seamlessly between customer-facing products and our internal infrastructure.
WHAT YOU’LL DO
In your first 30 days, you will take over key parts of the core simulation engine, adding new features or improving performance, driving key metrics such as throughput and cost. You'll be responsible for making sure our software can scale to 10B+ events and tens of thousands of monthly users (both human and virtual). You'll be responsible for establishing our engineering culture as we continue to scale our technical team.
WHO YOU ARE
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Technically fluent : Deep understanding of evaluations, RL, and how LLMs and Agents work.
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Research-oriented — Able to read papers and keep up with SOTA literature.
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Extreme owner — You have extreme agency and a founder mentality; you are resourceful and scrappy.
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Creative problem solver — You leverage creativity and research skills to design projects from the ground up.
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Must be highly proficient with coding agents such as Codex or Claude Code.