Future opportunity: Windows Malware Resercher / Detection Engineer - Senior or Staff

Our Purpose At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here. About Us SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters. Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity. What Are We Looking For? We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes. Excited about future opportunities with us? This role is part of our talent pipeline, meaning we're proactively connecting with top talent for when the position officially opens. While we may not reach out right away, your application ensures you're first in line when the time comes. If you're looking to make an impact with us in the future, we’d love to hear from you! What are we looking for? SentinelOne is shaping the future of endpoint security through its unified, converged platform that automatically prevents, detects, and responds to threats in real-time. Our unique approach is based on deep inspection of all system processes combined with innovative machine learning to quickly isolate malicious behaviours, protecting devices against advanced, targeted threats in real time. We are growing our team by several new colleagues (or a whole team!) and looking for talented detection engineers - Senior or Staff (technical leader) level, people who look at the world differently, who explore, "hunt", live to beat the system and challenge it. People who can address tough security problems and deliver it fastly. What will you do? You will be responsible for detecting the newest malware and exploits based on SentinelOne’s Endpoint Protection platform. Your role won’t end with a hypothesis or a document - you’ll have an end to end responsibility for behaviour-based detection capabilities, starting from reversing the samples, designing new methods to detect or prevent those, and implementing it in the product in the end (SW development in C++23 and scripting in Lua). You will be developing and using internal research tools, PoCs and discovering new ways to detect/prevent exploitation attacks (EoP, drive-by attacks and more). At the end of the day, your deliveries will enhance the security of dozens of millions of Windows endpoints which are protected by our platform. Why us? - Because you will meet extraordinary challenges facing the newest attacks and tech obstacles and overcoming them. You will work with the very BEST in the industry in a flexible and independent environment. You will influence the design of a disruptive product that will shape the security industry of tomorrow. What experience or knowledge should you bring? Proven experience with reverse engineering of x86/x64/ARM bina ... (truncated, view full listing at source)