Senior Software Engineer, Sandboxing Infrastructure

engradar • United States

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AI Summary

Design, build, and operate secure, scalable sandboxing infrastructure for executing untrusted AI-generated code and tool calls. Focus on isolation, performance, and reliability for research and product use cases. Collaborate with cross-functional teams to ensure safe, efficient, and observable execution environments.

Key Highlights

Build and maintain sandboxing infrastructure for untrusted code execution at scale

Balance security (containers, microVMs, gVisor-style kernels) with performance and latency

Own end-to-end reliability, observability, and abuse detection for sandboxed environments

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Key Responsibilities

Design and implement isolated execution environments for untrusted model-generated code and tool calls

Develop scheduling, resource management, and lifecycle systems for efficient sandbox provisioning and teardown

Collaborate with researchers and product teams to define and expose sandboxing primitives for safe, user-friendly access

Instrument sandboxes for observability, abuse detection, and rapid response to novel security threats

Ensure end-to-end reliability, performance, and security of the sandboxing platform

Technical Skills Required

Linux internals (namespaces, cgroups, seccomp, capabilities, networking) Isolation/virtualization technologies (containers, microVMs, sandboxed runtimes) Systems programming and performance optimization

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Benefits & Perks

Generous health, dental, and vision benefits

Unlimited paid time off (PTO)

Paid parental leave

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Nice to Have

Experience securing systems against adversarial or untrusted code

Threat modeling and hardening expertise

Familiarity with Kubernetes or similar orchestration systems

Open-source contributions to infrastructure or security tooling

Interest in AI agent tool execution and safe execution environments

Job Description

EngRadar / Thinking Machines LabSoftware Engineer, SandboxingRemote San Francisco Full-time Posted todayApply directly →San Francisco, CaliforniaThe mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it.

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