Platform Engineer: Scalable Data Platform for AI Labs

Benchstack Ai; San Francisco (CA); On-site; USD 250,000 - 300,000; Full time

Job summary

Benchstack Ai is seeking an Infrastructure Engineer to own and scale the internal data production platform for frontier AI labs in San Francisco. This role places you at the core of a seed-stage startup delivering high-quality, long-horizon RL environments and post-training data for frontier AI labs.

You will work closely with researchers and data teams to ensure reliability, performance, and deep integration with ongoing experiments, while shaping the platform for rapid growth in a small,

Qualifications

• 3 to 7 years of strong software or infrastructure engineering.
• Experience with distributed systems: databases, storage, networking, messaging or orchestration.
• Has owned and scaled an internal platform end to end.
• Fast code comprehension and JVM-level debugging; async/concurrent I/O a plus.
• Enjoys collaborating with research and data teams.

Responsibilities

• Own the internal data production platform.
• Integrate the platform with research and data teams.
• Ensure reliability and scale to meet surging demand.
• Handle core infrastructure and systems work across the stack.

Skills

Distributed systems

Internal platform

JVM debugging

Research collaboration

Async I/O

Job description

Benchstack Ai is seeking an Infrastructure Engineer to own and scale the internal data production platform for frontier AI labs in San Francisco. This role places you at the core of a seed-stage startup delivering high-quality, long-horizon RL environments and post-training data for frontier AI labs.

You will work closely with researchers and data teams to ensure reliability, performance, and deep integration with ongoing experiments, while shaping the platform for rapid growth in a small,