Corridor
AI Engineer
- Location
- San Francisco, CA, US
- Arrangement
- Hybrid
- Employment type
- Full-time
- Posted
- 16 July 2026 (about 2 months ago)
Checked about a month agoApplications go to the employer, never to RoleSprint
About this role
About Corridor
Software development is becoming autonomous. The fastest teams already work this way, and at Corridor, we are leading the way on secure development as the rest of the industry follows.
Security tools were designed for a world where a person wrote the code and a person reviewed it. That's changing quickly. Corridor is securing software factories. We are the security solution for software that builds itself at every level of autonomy. We are preventing vulnerabilities as agents write code, and guiding teams to help decide what's safe to ship.
We're a small, talented team, led by Jack Cable (Former CISA - Secure by Design), Ashwin Ramaswami (Former CISA, Stanford, and Schmidt Futures) and, Alex Stamos (Former CISO of Facebook, Yahoo, SentinelOne).
Corridor is backed by Conviction, with a $25M Series A led by Felicis and our customers include ElevenLabs, Lovable, Mercor, and Langchain.
What You’ll Do
- Build and experiment with AI systems for code understanding, vulnerability detection, and agentic security tools
- Implement research ideas end-to-end, from prototypes and benchmarks to production-ready systems
- Collaborate on applied research projects and contribute to publications, blog posts, or benchmarks
- Help design and maintain infrastructure for model evaluation, training, and experimentation
- Work closely with product and engineering teams to integrate AI capabilities into Corridor’s platform
- Stay current with new developments in AI, especially as they relate to code and security
What We’re Looking For
- Strong engineering background with experience building real systems or projects
- 2+ years of industry or research experience in software engineering, ML, or a related field
- Hands-on experience writing production-quality code (Python, ML frameworks, backend systems, vector stores, hybrid search, databases, etc.)
- Interest in applied AI research and the ability to turn ideas into working software
- Familiarity with model fine-tuning, evaluation pipelines, or RL-style environments
- Self-directed and curious. You can take ownership of ambiguous projects
Nice to Have
- Experience with code generation and/or security
- Prior research experience or publications in ML/AI or security venues
- Open-source contributions or public technical writing (blogs, benchmarks, demos)
About Us
- Co-founder and CEO Jack Cable is a top-ranked bug bounty hunter who previously led Secure by Design at CISA.
- Co-founder and CTO Ashwin Ramaswami built large-scale systems at Skiff, Caldera, and Nooks, and published research on AI and open foundation models at Stanford.
- CPO Alex Stamos is the former CISO of Facebook, Yahoo, and SentinelOne and a current lecturer at Stanford University.
Some of our angels and advisors include Russell Kaplan (Cognition), Thomas Wolf (Hugging Face), Jonathan Frankle (Databricks), and Mike Krieger (Anthropic).
Check out some of our existing blog posts on AI:
- The State of Secure Coding Benchmarks: BaxBench https://corridor.dev/blog/state-of-secure-coding-benchmarks-baxbench/
- The State of Secure Coding Benchmarks: SecCodeBench https://corridor.dev/blog/state-of-secure-coding-benchmarks-seccodebench/
Work location
- San Francisco, CA, US
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About this listing
Published on Ashby under the board identifier Corridor, which is the name the employer’s own job board carries. RoleSprint has not verified the company’s registered or trading name, so it is shown exactly as published rather than tidied up.
RoleSprint is not the employer and not a recruiter. Applications are made on the employer’s own site and never reach us; what RoleSprint does is help you decide whether a role is worth your time and prepare for it if it is.
Published 16 July 2026, last checked about a month ago. A posting stops being advertised here 90 days after the employer published it, and one the employer takes down is marked closed rather than quietly removed.