Software Engineer, Security

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.

• 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.

• Minimum qualifications:
  
  Bachelor’s degree or equivalent experience in computer science, engineering, or similar.
• Proficiency in at least one backend language (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 cross‑functional partners and subject matter experts.
• A bias for action with a mindset to take initiative to work across different stacks and teams where you spot the opportunity to make sure something ships.

• 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.

• Location:
  
  San Francisco, California.
• Compensation: $350,000 - $475,000 USD per year.
• Visa sponsorship:
  We sponsor visas.

Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

As set forth in Thinking Machines’ Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. Thinking Machines Lab will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the California Fair Chance Act, the San Francisco Fair Chance Ordinance, and any other applicable state or local fair chance ordinance or law.