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OpenClaw Foundation

Non-profit steward of open-source, self-hosted AI

Forward Deployed Engineer

Full-Time
$200k - $300k/yr
Mid, Senior
Remote in USA+2 moreMore locations: San Francisco, CA, USA | United States
HybridThe role may be remote within the US or onsite at donors' and sponsors' locations across the US. Occasional travel is required.
Software EngineeringAI Application Engineering

About the job

Requirements
  • Four to fifteen or more years of professional software engineering experience.
  • Strong experience with Python, Go, Rust, TypeScript, or similar modern programming languages.
  • Experience deploying distributed systems in production.
  • Deep understanding of APIs, networking, authentication, cloud infrastructure, and backend architecture.
  • Experience working directly with customers, users, or cross-functional stakeholders.
  • Strong debugging and systems-thinking skills.
  • Excellent written and verbal communication.
  • Ability to travel occasionally for customer engagements, conferences, or Foundation events.
Responsibilities
  • Partner directly with customers to design and deploy production OpenClaw systems.
  • Build custom integrations, infrastructure, and tooling to solve complex technical challenges.
  • Work across backend services, distributed systems, APIs, identity, security, orchestration, and cloud infrastructure.
  • Diagnose and resolve production issues, performance bottlenecks, and scaling challenges.
  • Contribute reusable improvements back into the OpenClaw open source platform.
  • Collaborate with Foundation maintainers to prioritize features based on ecosystem needs.
  • Help organizations migrate existing AI workflows onto OpenClaw.
  • Design deployment architectures across cloud, hybrid, and on-premise environments.
  • Create technical documentation, deployment guides, and reference implementations.
  • Become a trusted technical advisor for customers adopting OpenClaw.
  • Represent the Foundation within the broader open source community.
Desired Qualifications
  • Experience building AI agents, large language model applications, or agent frameworks.
  • Experience with Kubernetes, Docker, Terraform, or infrastructure as code.
  • Experience with retrieval systems, vector databases, or AI infrastructure.
  • Experience contributing to open source software.
  • Knowledge of security, identity, permissions, or distributed authorization systems.
  • Experience with multi-agent orchestration platforms.
  • Previous experience in solutions engineering, developer relations, or forward deployed engineering.

About the company

OpenClaw Foundation manages and maintains the OpenClaw open-source project as a US 501(c)(3) nonprofit. It serves as a neutral steward for AI, aiming to keep AI personal and accessible. The project is a self-hosted, autonomous local-first AI assistant that runs on a user’s own hardware, letting it interact with local files and apps and perform tasks like shell commands, browser control, calendar and email management. It also connects to messaging platforms such as WhatsApp, Telegram, Slack, and Discord via a multi-channel gateway and can be controlled through a web dashboard. The architecture is open and extensible, with a community-driven “skill” system for new capabilities. OpenClaw is MIT-licensed and independent, supported in part by sponsorship from OpenAI, with leadership from Peter Steinberger and Dave Morin. The goal is to give people a private, customizable AI that works locally and remains under community control rather than centralized cloud systems.

Company Size

1-10

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

2026

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Simplify Jobs

Simplify's Take

What believers are saying

  • Red Hat and NVIDIA announced September 2026 enterprise work and internal pilots.
  • OpenClaw 2.0 shipped September 2, 2026, with 933 contributors and 16,000 pull requests.
  • OpenClaw's blog says Microsoft Scout and OpenAI support broaden distribution and credibility.

What critics are saying

  • Sandboxing stays off by default, leaving 2026 deployments exposed to unsafe commands.
  • Prior security analysts called OpenClaw an unacceptable cybersecurity risk, and businesses still ban it.
  • A severe breach in enterprise agents triggers bans, killing foundation adoption by 2027.

What makes OpenClaw Foundation unique

  • MIT-licensed, independent 501(c)(3) stewardship separates OpenClaw from vendor-owned agent platforms.
  • OpenClaw runs locally on user hardware, controlling files, shells, browsers, calendars, and email.
  • OpenClaw Enterprise adds multi-tenancy and governance while keeping the underlying stack replaceable.

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Benefits

  • Remote Work Options

Company News

The Register
Sep 30th, 2026
OpenClaw dons enterprise edition to dodge widespread business bans

OpenClaw, an AI automation tool that was widely banned by businesses due to security concerns, is getting an enterprise makeover. The project's creator, Peter Steinberger, now works for OpenAI, which has made OpenClaw central to its AI agent plans. Security analysts previously labelled OpenClaw an "unacceptable cybersecurity risk," with China's Computer Emergency Response Team warning of weak default security. Most organisations' IT departments currently ban the platform altogether. Now OpenAI, Red Hat, and Nvidia are developing OpenClaw Enterprise (OCE), positioning it as "Kubernetes for agents." The enterprise version introduces multi-tenancy, security boundaries, and governance controls whilst maintaining the tool's automation capabilities. OpenAI started the project before donating it to the OpenClaw Foundation. Red Hat's Joe Fernandes compared OCE to Linux and Kubernetes, suggesting it could drive similar industry transformation.

Tech in Asia
Sep 30th, 2026
OpenClaw Foundation launches open-source AI agent platform with OpenAI, Red Hat and Nvidia

The OpenClaw Foundation has launched an open-source AI agent platform originally developed at OpenAI before being donated to the foundation. The project has since been developed in collaboration with Red Hat and Nvidia. The software is currently intended for internal pilot workloads, with Red Hat and OpenAI conducting internal pilots. A 1.0 release is planned for later this year. The launch addresses growing enterprise demand for AI agent security. Red Hat has been positioning its AI portfolio around agentic AI and running AI workloads on OpenShift, though public materials do not indicate OpenClaw integration with that stack.

Upgate
Sep 2nd, 2026
OpenClaw 2.0 released: major update enhances open-source agent framework.

OpenClaw 2.0 released: major update enhances open-source agent framework. Sep 2, 2026 Reading time: 3 min OpenClaw has launched version 2.0 of its open-source agent framework, introducing a significant overhaul with substantial improvements to installation, user interface, memory management, and security features. The release, which occurred over the weekend, involved a large number of contributors and pull requests, marking a considerable evolution for the self-hosted framework that transforms large language models (LLMs) into persistent agents. The update, described by the team as an "accidental" result of scope creep, saw initial small fixes evolve into a comprehensive overhaul. According to the announcement post, efforts to simplify onboarding and rebuild the browser app touched upon core components including memory, models, plugins, messaging, and security. This extensive development involved 933 contributors, with 569 being first-time contributors, and generated over 16,000 pull requests. Key Features and Improvements OpenClaw 2.0 features a rebuilt Control UI centered around chat, aiming to align its visual presentation with popular interfaces like ChatGPT, Claude, and Gemini. This redesign integrates tools such as Files, Git diffs, pull-request status, a browser panel, and a terminal directly within the conversation interface, moving away from a separate overview dashboard. The team claims that a simulated latency test showed a reduction in initial JavaScript requests from 140 to 45 and a decrease in startup time from 1.6 seconds to 575 milliseconds. Collaboration is enhanced with the introduction of shared cloud sessions, allowing colleagues to seamlessly join and contribute to agent tasks without losing context. The framework also adds several security features, including request-specific approvals, command permissions, Docker and Podman sandboxing, role-enforced execution, and a team-scoped Secret Store. However, these advanced security features, such as sandboxing and approvals, are off by default, requiring manual activation by users. For full tenant isolation, separate Gateway instances, referred to as 'cells,' need to be deployed. Project Evolution and Context OpenClaw, originally built by Peter Steinberger (who joined OpenAI in February), is now managed by the OpenClaw Foundation, a nonprofit entity with partners including Microsoft, GitHub, Nvidia, Atlassian, and Tencent. Prior to this major release, OpenClaw had shipped 106 releases in the 230 days leading up to version 2.0, indicating a rapid development pace. Competitive Landscape The release of OpenClaw 2.0 positions it within a competitive landscape that includes projects like Nous Research's Hermes Agent, first tagged in March. Hermes Agent has focused on procedural memory for automatic skill generation and security defaults that assume multiple users. OpenClaw 2.0's new sandboxing features narrow the gap with Hermes Agent, though the latter may retain an advantage in its default security posture and self-improvement capabilities, as hardening in OpenClaw 2.0 still requires user configuration. OpenClaw remains free and MIT-licensed. The update requires existing users to back up their sessions before upgrading due to a change in SQLite storage. New users are guided through onboarding processes across multiple platforms and can import data from other tools. Why this matters. The release of OpenClaw 2.0 signifies a major step forward in the development of self-hosted LLM agents, impacting developers and organizations seeking advanced automation and collaboration tools. The project's evolution into a nonprofit foundation with corporate partners also highlights a shift in the governance and support structure for open-source AI frameworks. Broader context. OpenClaw is a self-hosted, open-source framework that turns an LLM into an agent that persists after closing a tab. It can interact via various messaging platforms and access local resources with permission. The project's rapid development and the introduction of significant new features in version 2.0 underscore its growing importance in the AI agent ecosystem.