Software Engineer, Security

Thinking Machines; San Francisco (CA); On-site; USD 300,000 - 350,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Unlimited PTO

Parental leave

Relocation support

Job summary

Thinking Machines Lab Inc. seeks a security-focused software engineer to embed security by default across product development. You’ll partner with product and research teams to bake security into design, build tooling, and ensure safety at scale.

You will secure web apps and APIs, implement authentication/authorization, and improve observability for security events. This role requires collaboration across stacks and teams and a bias for action in a fast-moving AI environment in San Francisco.

Qualifications

• Bachelor’s degree in CS or equivalent experience.
• Proficiency in Python or Rust.
• Strong software engineering fundamentals with security focus.
• Experience securing web apps and APIs (auth flows, access control, secrets management).
• Familiarity with common vulnerability classes and prevention frameworks.
• Comfort with cloud infrastructure and end-to-end ownership.

Responsibilities

• Partner with product and research teams to embed security into development lifecycle.
• Design security controls across product stack (auth, session mgmt, input validation).
• Build security tooling and automation for CI/CD and dependency management.
• Mitigate AI-specific risks like model abuse, prompt injection, data leakage.
• Improve observability and detection for security-relevant events in production.

Skills

Python

Rust

Security review

Auth flows

Cloud infra

Cross-functional

Threat modeling

Secure defaults

Education

Bachelor's degree in Computer Science

Job description

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.

About the Role

We're looking for a software engineer focused on making our products secure by default while supporting fast and ambitious product iteration. You'll embed with product and research teams to bake security into design and development and to build tooling and automation that keep systems safe at scale.

What You’ll Do

• Partner with product and research teams to embed security into the development lifecycle: threat modeling, design reviews, and secure defaults for new features.

• Design and implement security controls across our product stack (authentication, authorization, session management, input validation, etc.).

• Build and maintain security tooling and automation for engineers: secure frameworks and templates, CI/CD checks, dependency management, and vulnerability detection.

• Collaborate with researchers to identify and mitigate AI-specific product risks, such as model abuse, prompt injection, data leakage, or misuse of capabilities.

• Improve observability and detection for security-relevant events: access anomalies, abuse patterns, and suspicious behavior in production.

Skills and Qualifications

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).

• Strong generalist software engineering background and ability to review production code for security risks.

• Hands-on experience securing web apps and APIs especially auth flows, access control, secrets management, input validation, and data protection.

• Familiarity with common vulnerability classes and prevention frameworks; experience hardening prototypes into production.

• Comfort with modern cloud infrastructure and understanding how application concerns intersect with infrastructure.

• 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.

• A bias for action with a mindset to take initiative to work across different stacks and different teams where you spot the opportunity to make sure something ships.

Preferred qualifications - we encourage you to apply if you meet some but not all of these:

• Experience securing AI-powered products or working with ML/LLM APIs and their unique threat models.

• Background in human-computer interaction, especially where security or trust plays a central role in the user experience.

• Strong skills in rapid prototyping and iteration, with a habit of turning ad-hoc fixes into reusable patterns and tools.

• Open-source security work, bug bounty write-ups, or published tooling.

Logistics

• Location: This role is based in San Francisco, California.

• Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $300,000 - $350,000 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.