Secure AI Coding at the Source. Corridor accelerates AI coding by preventing security flaws before they're even written. Backed by Felicis and Conviction.
About the role
Self-directed and curious. You can take ownership of ambiguous projects
What they'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
More 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...
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