Software Engineer, Sandboxing
- Pay
- $300,000 – $400,000 per year
- Location
- San Francisco, CA · On-site
- Job type
- Full-time
- Level
- Mid-level
- Education
- Bachelor's degree
- Listed
- 22 days ago
Skills & highlights for this role
- sandboxing infrastructure
- Linux namespaces, cgroups, seccomp
- containers or microVMs (Firecracker, gVisor, Kata)
Also useful
- Kubernetes
- Rust
- Python
- threat modeling for sandbox escapes
- multi-tenant infrastructure
Stated benefits & perks
- Health
- Dental
- Vision
- Unlimited pto
- Parental leave
About the Role
Our models and agents increasingly need to run code, use tools, and take actions in the world - safely, reliably, and at scale. The Core Services team builds the sandboxing infrastructure that makes this possible: the isolated execution environments where models write and run code, browse, and interact with tools, both for our researchers during training and for external users building on Tinker.
We're hiring a software engineer to help design, build, and operate this sandboxing platform. You'll work on the systems that isolate and constrain untrusted, model-generated code, and that scale to support thousands of concurrent executions across the company. This is foundational infrastructure: every research experiment and every product surface that lets a model take action depends on it being fast, secure, and dependable.
What You'll Do
- Design, build, and operate sandboxed execution environments for running untrusted, model-generated code and tool calls at scale.
- Improve isolation boundaries using technologies such as containers, microVMs, or gVisor-style kernels, balancing security against startup latency and throughput.
- Build the scheduling, resource-management, and lifecycle systems that provision, reuse, and tear down sandboxes efficiently under heavy concurrent load.
- Partner with researchers and Tinker's product team to expose sandboxing primitives that are simple to use and hard to misuse.
- Instrument sandboxes for observability and abuse detection, and respond to novel escape or exploitation attempts as they're discovered.
- Own reliability and performance of the sandboxing platform end-to-end, from API design down to the underlying virtualization layer.
Minimum Qualifications
- Bachelor's degree or equivalent experience in computer science, engineering, or similar.
- Proficiency in at least one backend language (we use Python or Rust).
- Experience building or operating isolation or virtualization technology, such as containers, microVMs (e.g. Firecracker, Cloud Hypervisor), or sandboxed runtimes (e.g. gVisor, Kata Containers).
- Solid grounding in Linux internals relevant to isolation: namespaces, cgroups, seccomp, capabilities, and networking.
- Comfort operating across the stack and owning projects end-to-end.
- Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts.
Preferred Qualifications
- Experience securing systems that execute untrusted or adversarial code, including threat modeling and hardening against sandbox escapes.
- Familiarity with running large-scale, multi-tenant infrastructure on Kubernetes or similar orchestration systems.
- Experience with performance-sensitive systems programming and reducing cold-start latency for ephemeral compute.
- Track record of contributing to open-source infrastructure or security tooling.
- Interest in how AI agents use tools and code execution, and how that shapes the design of safe execution environments.
Logistics
- Location: This role is based in San Francisco, CA.
- Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $300,000 - $400,000 USD.
- Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
- Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.
About Thinking Machines
The 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.
From Thinking Machines Lab's careers page, first listed on Rolev.ai on October 17, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
Rolev.ai is a job search and application tool for US job seekers. For this Software Engineer, Sandboxing role at Thinking Machines Lab, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.
See how you fit
Openings from employer career sites are ranked against your whole resume—and searchable inside Claude, ChatGPT, and Cursor via Rolev.ai MCP.
Tailor without inventing
Every change to your resume is checked against your original. New experience goes in only with your yes—zero fabricated claims.
Draft the full kit
Tailored and Full Match resumes, role-specific cover letters, and answers to employer screening questions are prepared in seconds.
1-Click Extension Autofill
The Chrome extension fills the employer's Greenhouse, Workday, Lever, or Ashby form in 1 click. You review it and press Submit.
Similar roles
All Software Developer jobs- Software DeveloperAccenture Federal Services · Washington, DC · $97.5k – $115k/yr
- Software Developer 803Freedom Technology Solutions Group · Annapolis Junction, MD · $150k – $200k/yr
- Software DeveloperPurvis Systems · Newport, RI
- NASA Human Spaceflight Artificial Intelligence (AI) Software Engineer and Data ScientistCACI · Houston, TX
- Senior Manager Software EngineeringNasdaq · Atlanta, GA
- Software Engineering Supervisor - Test SystemsMoog · Torrance, CA
Common questions
What is the salary for the Software Engineer, Sandboxing role at Thinking Machines Lab?
The Software Engineer, Sandboxing posting at Thinking Machines Lab states compensation of $300,000 – $400,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Thinking Machines Lab's official career site.
Where is the Software Engineer, Sandboxing job at Thinking Machines Lab located?
This Software Engineer, Sandboxing position at Thinking Machines Lab is located in San Francisco, CA (On-site). Always check Thinking Machines Lab's application page for specific state eligibility or relocation policies.
What qualifications are required for Software Engineer, Sandboxing at Thinking Machines Lab?
For the Software Engineer, Sandboxing role, Thinking Machines Lab highlights a bachelor's degree; experience with sandboxing infrastructure, Linux namespaces, cgroups, seccomp, containers or microVMs (Firecracker, gVisor, Kata). Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Software Engineer, Sandboxing position at Thinking Machines Lab?
This listing links directly to Thinking Machines Lab's Ashby application page. You can apply directly on Thinking Machines Lab's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.