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EEndor Labs
Palo Alto, United States7 months ago
160,000 – 220,000 USD
per year
Work format
Hybrid
English level
B2, upper-intermediate
An email or a Telegram message to the recruiter
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.
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.
We’re building at the intersection of developer productivity and security — one of the fastest-growing spaces in software. Our dev-loved platform has real ROI, strong momentum, and customers who care about doing things right.
At Endor Labs, we think big, start small, and learn fast. We take ownership, move with purpose, and always start with the customer’s success. We debate with data, make the complex simple, and challenge each other with kindness and candor. We celebrate wins, learn from misses, and have fun along the way — because when our customers win, we all win.
Experience with program analysis or static analysis (e.g., call graphs, data-flow or taint analysis, abstract interpretation, symbolic execution) or to ML for code (e.g., vulnerability detection, code representation learning, program repair, code embeddings, reachability prediction, LLM-based code understanding). Deep expertise in one area is great; a working familiarity and eagerness to learn is also welcome
A software engineering background—industry experience, research, open source, or a mix
Comfort working in at least one of Java, Python, or Go, and the ability to ship production-quality code (or the trajectory to get there quickly)
A product mindset—you care about building things that work well for users, not just technically interesting code
Good communication and collaboration skills. You can work through technical trade-offs with teammates and explain your thinking clearly
Interest in giving talks at technical conferences, workshops, or industry events, or in engaging directly with customers. Neither is required
This role is based in Palo Alto, California, and follows a hybrid work model (3 days p/week onsite).
For candidates who receive an offer for this position, the compensation range is expected to be between $160,000 - $220,000. This may include additional incentives such as commission targets, restricted stock units, and/or bonuses, depending on the role.
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.
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).
We’re building at the intersection of developer productivity and security — one of the fastest-growing spaces in software. Our dev-loved platform has real ROI, strong momentum, and customers who care about doing things right.
At Endor Labs, we think big, start small, and learn fast. We take ownership, move with purpose, and always start with the customer’s success. We debate with data, make the complex simple, and challenge each other with kindness and candor. We celebrate wins, learn from misses, and have fun along the way — because when our customers win, we all win.
Endor Labs is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Even if you don't fit every requirement above, we believe in the power of diverse perspectives and experiences, so we encourage all talented individuals to apply—there's no one-size-fits-all here.
For candidates who receive an offer for this position, the compensation range is expected to be between $160,000 - $220,000. This may include additional incentives such as commission targets, restricted stock units, and/or bonuses, depending on the role.
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