Program Analysis Engineer

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 technical conferences, meetups, or industry events—if that's something you enjoy.

Engage with customers when needed—triaging findings, explaining analysis behavior, and turning field feedback into product improvements.

Help identify and address performance bottlenecks, reliability issues, and technical debt across the analysis stack.

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.

Familiarity with AppSec, DevSecOps, or software supply chain security.

Experience with ML systems in production (training pipelines, evaluation frameworks, model serving, feedback loops).

Contributions to open-source static analysis tools, program analysis frameworks, or security research.

Experience at an early-stage startup or as a founding engineer.

Experience building developer-facing products or platforms.

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.

Compensation

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.