Program Analysis Engineer

About Us AI coding is the largest use case of enterprise AI adoption today, as is evident from the success of Anthropic on Claude Code, Cursor’s $60B exit to SpaceX, and Cognition’s $48B valuation. The bottleneck now has moved from code generation to security and safety - AI agents write code faster than any team can review it, and over 65% of the lines of code produced by them are insecure. Vulnerabilities are piling up 16x faster than companies can fix them, and adversaries are able to exploit these new vulnerabilities within hours. AURI by Endor Labs closes that gap. It runs inside the harness where coding agents work, through hooks, skills and MCP, so the controls sit outside the model and every agent action is visible. Underneath is our patented code context graph, which maps code, open source, containers and infrastructure. It shows which vulnerabilities can actually be reached and exploited, then delivers fixes that won’t break the application. Security teams get evidence instead of noise, and developers get fixes instead of tickets. The companies building AI trust us to secure it - our customers include OpenAI, SpaceX, DoorDash, Dropbox, Atlassian, MongoDB, Snowflake, Robinhood and Peloton to name a few. Endor Labs is the third company from Founder & CEO Varun Badhwar, who built Prisma Cloud, the platform that helped define cloud security, from $0 to $300M ARR at Palo Alto Networks. We’ve raised $163M from Lightspeed, Coatue, DFJ Growth, Salesforce Ventures and Dell Technologies Capital. Software runs everything around our lives today - banking, hospitals, airports and power grids. AI now writes more of it every day, and our mission is to make sure the world can trust that software. Come build that future with us. About the Role We are looking for a Program Analysis Engineer with an interest in program analysis, static analysis, or machine learning for code, to join our engineering organization. This is an individual contributor role focused on our static analysis and ML-for-code initiatives. As an MTS, you will contribute to our existing suite of static analysis tools, help evolve our SCA (Software Composition Analysis) and SAST (Static Application Security Testing) platforms, and help shape machine-learning experiments that power the next generation of our detection and prioritization capabilities. You will partner closely with engineering, product, and research peers to translate customer needs into production systems that run at scale. This role is a good fit for engineers who enjoy working on programming languages and code analysis, who are curious about applying ML techniques to real-world code and AppSec problems, and who thrive in a fast-paced startup environment. This role is based in Palo Alto, California, and follows a hybrid work model (3 days p/week onsite). How You'll Make an Impact • Contribute to our existing suite of static analysis tools, helping improve precision, recall, coverage, and performance across supported languages. • Help evolve our SCA and SAST platforms, shaping how we detect vulnerabilities, analyze dependencies, and prioritize risk across the software supply chain. • Participate in machine-learning experiments for SCA and SAST, from problem framing and dataset work through evaluation and the path from prototype to production. • Contribute to our program-analysis infrastructure, which includes call graph construction, data-flow and taint analysis, and language-specific analyzers. • Work with product and engineering to help shape parts of the technical roadmap for analysis and ML-for-code work. • Collaborate with engineers across the team through design discussions, code reviews, and hands-on pairing. • Opportunities to represent Endor Labs externally—e.g., talks at technic