Program Analysis Engineer

• 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
• 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

Benefits

• Culture and Engagement: Fostering a vibrant culture and strong engagement is paramount. As a diverse team, we actively unite through global annual company off-sites, company-wide events, hackathons, and departmental team-buildings.
• Health and Wellness: We offer benefits to manage your health, wealth, and well-being. Benefits include competitive medical, dental, and vision plans, life insurance, voluntary life options, and financial tools such as Flexible Spending Account (FSA) and Health Savings Account (HSA). Additionally, we empower your financial future with 401k plans, and support your family’s growth with parental leave options.
• Remote Options: We are a globally diverse team and have the flexibility to work from anywhere, while ensuring our employees feel supported and connected. We are happy to provide Home Office Equipment stipend and Cell Phone and Internet Reimbursement.
• Time to Recharge: Endor Labs observes a number of diverse holidays and we offer flexible PTO for you to relax and recharge.

• 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)
• Good communication and collaboration skills. You can work through technical trade-offs with teammates and explain your thinking clearly
• A product mindset—you care about building things that work well for users, not just technically interesting code
• 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
• Experience at an early-stage startup or as a founding engineer
• Experience building developer-facing products or platforms
• Familiarity with AppSec, DevSecOps, or software supply chain security
• Interest in giving talks at technical conferences, workshops, or industry events, or in engaging directly with customers. Neither is required
• 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