Location: Noida or Bengaluru

About the Role

As a Reinforcement Learning Infrastructure Engineer, you'll build that infrastructure to support both large-scale research and production RL workloads a genuinely rare kind of systems work.

What You'll Do
Build and scale distributed rollout infrastructure for reinforcement-learning training jobs
Implement workplace execution and verifier-integration pipelines
Design effective trajectory storage and retrieval for training pipelines
Ensure rollout infrastructure scales reliably across many concurrent RL jobs
Collaborate closely with our research team to support new algorithms and environment types as they're developed

What You'll Bring
5+ years of experience in distributed systems or backend infrastructure engineering
Solid distributed-systems fundamentals and hands-on experience with Kubernetes and orchestration frameworks like Ray
Experience with gRPC-based service architectures
Proficiency in Python and Go

Education

B.Tech in Computer Science or a related field.

Nice to Have
Direct RL infrastructure experience (rare, and not required)
Experience at a distributed-systems or database company, applied to a new domain

📌 Rl Infrastructure Engineer Bengaluru
🏢 HCLTech
📍 Bengaluru