Staff Software Engineer, RLE

About the Role

We’re hiring a Staff Software Engineer to lead the architecture and evolution of our Reinforcement Learning Environments (RLE) platform—the systems that define how frontier AI models learn real-world work.

This is a high-impact, technical leadership role responsible for system design, cross-team alignment, and setting the long-term technical direction of RLE.

What You’ll Do

• Define and drive architecture for scalable, extensible RLE systems and data pipelines
• Lead development of platform capabilities enabling rapid domain creation
• Partner with Research, Product, and Ops to shape strategy and execution
• Set standards for reliability, observability, performance, and data quality
• Mentor engineers and elevate engineering excellence across the team
• Identify and solve systemic bottlenecks in scaling environments and data generation

What We’re Looking For

• 8+ years of experience in distributed systems, backend infrastructure, or ML platforms
• Deep expertise in system design, data modeling, and scalable architectures
• Strong proficiency with TypeScript, backend systems, and modern web stacks
• Proven experience operating high-scale production systems in cloud environments
• Track record of technical leadership and cross-functional influence

Nice to Have

• Experience with RL infrastructure, simulation systems, or evaluation frameworks
• Background supporting applied AI/ML research teams
• Experience building platform-level abstractions used across multiple teams

What Success Looks Like

• RLE becomes a foundational, trusted platform across teams and use cases
• New domains scale rapidly with minimal engineering overhead
• Systems demonstrate step-function improvements in model quality and reliability
• Engineering velocity and system robustness increase across the organization