RL Sandbox & Infra Engineer - Scalable Run-Time Platform

Commergence; Fremont (CA); Hybrid; USD 120,000 - 180,000; Part time

Job summary

Commergence in Fremont, CA seeks an AI Lab Tech Engineer to own the execution layer for RL environments, focusing on sandboxing, fast and cost-efficient execution, and snapshot/restore capabilities to support hours- or days-long runs.

You will collaborate with research, data teams, and enterprise customers to build reliable on-prem infrastructure for deploying RL environments with strong performance, scale, and observability.

Qualifications

• Experience building production systems or research infrastructure at scale.
• Strong knowledge of containers, namespaces, cgroups, VMs, and sandboxing.
• Experience optimizing performance and cost at scale.
• Proficiency in Python; systems programming in Rust/Go/C is a plus.
• Experience deploying models on on-prem hardware.

Responsibilities

• Design and own the sandboxing and execution layer for environments.
• Develop failure-detection and rollback mechanisms for rollouts.
• Scale environment rollouts across multi-node setups.
• Own performance metrics: throughput, latency, cost per rollout at scale.
• Build framework for specifying, packaging, and deploying RL environments.
• Collaborate with research and enterprise customers.
• Produce tooling and documentation for internal teams.

Skills

Python

Rust

Go

Systems programming

Distributed systems

Containerization

Performance optimization

Cloud platforms

Job description

Commergence in Fremont, CA seeks an AI Lab Tech Engineer to own the execution layer for RL environments, focusing on sandboxing, fast and cost-efficient execution, and snapshot/restore capabilities to support hours- or days-long runs.

You will collaborate with research, data teams, and enterprise customers to build reliable on-prem infrastructure for deploying RL environments with strong performance, scale, and observability.