Member of Technical Staff — Sandbox Infrastructure

Human Intuition Inc.; New York (NY); On-site; USD 110,000 - 170,000; Full time

Job summary

Human Intuition Inc. is building an autonomous company where decisions are learned and software compounds institutional knowledge. The team designs controlled execution environments enabling agents to run tasks with clear boundaries, reproducible workflows, and observability across isolation layers.

You will contribute to isolation, orchestration, and scalable task execution, partnering with researchers and engineers to simulate realistic workflows and controlled production runs.

Qualifications

• Strong systems engineering skills and practical knowledge of Linux, networking, and process isolation.
• Experience with containers, virtualization, or secure execution infrastructure.
• Proficiency in a systems language or substantial experience building infrastructure services.
• Careful reasoning about trust boundaries, secrets, resource exhaustion, and failure modes.
• Experience operating infrastructure and diagnosing problems across multiple layers.

Responsibilities

• Design execution environments with scoped access to files, networks, credentials, and external tools.
• Build provisioning, scheduling, lifecycle management, cleanup, and resource controls for concurrent tasks.
• Support snapshots, replay, and reproducible environments for evaluations and training.
• Improve startup time, utilization, and reliability without weakening isolation.
• Build diagnostic tools that connect environment behavior to agent traces and task outcomes.
• Collaborate with researchers and engineers on realistic workflow simulations and controlled production execution.

Skills

Systems engineering

Linux

Networking

Process isolation

Containers

Troubleshooting

Tools

Containers

Virtualization

Secure execution infra

Job description

Building the autonomous company

Human Intuition is building the autonomous company. Businesses run on accumulated judgment: how to interpret a situation, choose an action, and learn from its consequences. Much of that knowledge lives in people, even when the decisions they make leave traces in software.

We are working to make that judgment learnable. A business has defined systems, tools, permissions, histories, and objectives. Those boundaries create an opportunity to build agents that learn from how work is done, act within clear constraints, and improve through feedback. Our ambition is to turn the knowledge inside institutions into software that compounds.

The role

Build the controlled environments in which agents can use tools, execute code, and practice workflows. You will work on isolation, orchestration, reproducibility, and observability so experiments and deployed tasks can run with clear boundaries and predictable behavior.

What you’ll do

• Design execution environments with scoped access to files, networks, credentials, and external tools.

• Build provisioning, scheduling, lifecycle management, cleanup, and resource controls for concurrent tasks.

• Support snapshots, replay, and reproducible environments for evaluations and training.

• Improve startup time, utilization, and reliability without weakening isolation.

• Build diagnostic tools that connect environment behavior to agent traces and task outcomes.

• Collaborate with researchers and engineers on realistic workflow simulations and controlled production execution.

What you’ll bring

• Strong systems engineering skills and practical knowledge of Linux, networking, and process isolation.

• Experience with containers, virtualization, or secure execution infrastructure.

• Proficiency in a systems language or substantial experience building infrastructure services.

• Careful reasoning about trust boundaries, secrets, resource exhaustion, and failure modes.

• Experience operating infrastructure and diagnosing problems across multiple layers.

Useful experience

MicroVMs, browser execution environments, distributed scheduling, infrastructure automation, or systems for running untrusted code.

What success looks like

The team can run realistic tasks safely and repeatedly, inspect failures, and scale concurrency without losing control over access or resources.