RL Infrastructure Engineer

HCL Technologies Limited; Bengaluru; Vor Ort; INR 4.000.000 - 7.000.000; Vollzeit

Zusammenfassung

HCL Technologies Limited is seeking an Reinforcement Learning Infrastructure Engineer in Bengaluru, India. You will build scalable distributed rollout infrastructure to support large-scale RL training, while designing efficient storage and retrieval for training pipelines.

The role requires 5+ years in distributed systems, strong Kubernetes experience, Ray orchestration, and proficiency in Python and Go. Collaboration with the research team to adapt to new algorithms is expected.

Qualifikationen

• 5+ years of distributed-systems or backend infra engineering experience.
• Strong fundamentals in distributed systems with Kubernetes and orchestration frameworks.
• Experience with gRPC-based service architectures and Python/Go.

Aufgaben

• Build and scale distributed rollout infrastructure for RL training jobs.
• Implement environment execution and verifier-integration pipelines.
• Design efficient trajectory storage and retrieval for training pipelines.
• Ensure rollout infra scales reliably across many concurrent RL jobs.
• Collaborate with research to support new algorithms and environments.

Kenntnisse

Kubernetes

Ray orchestration

gRPC

Python

Go

Ausbildung

B.Tech in Computer Science

Tools

Ray

Jobbeschreibung

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 environment execution and verifier-integration pipelines
• Design efficient 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
• Strong 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