Distinguished Engineer, AI Security Systems (Remote)
CrowdStrike16 hours ago
Base Salary
$235k - $350k/yr
Responsibilities
- Architect end-to-end AI security systems covering models, agents, security telemetry, tools, execution environments, endpoint inference, and cloud-scale reasoning.
- Bring frontier AI to endpoints through distillation, quantization, compact models, and kernel- and user-mode telemetry integration.
- Build cloud-scale streaming detection and inference systems with GPU-efficient serving, model routing, and cost, latency, and reliability controls.
- Develop autonomous defenders that investigate threats, hunt adversaries, create and validate detections, and drive response and remediation.
- Create learning systems using investigations, adversary emulation, simulations, expert feedback, reinforcement learning, post-training, reward modeling, and synthetic data.
- Engineer for evasion, poisoning, prompt injection, tool abuse, sandboxed execution, and autonomous actions in customer environments.
- Establish benchmarks, cyber ranges, and evaluation harnesses for efficacy, false-positive cost, reliability, latency, and spend.
- Set technical direction, mentor principal-level engineers and research scientists, align cross-functional teams, and carry research into the Falcon platform.
- Represent CrowdStrike through publications, open-source work, standards, and collaboration with AI labs, universities, and the security research community.
Requirements
- BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a related technical field; PhD is preferred.
- 15+ years of industry experience in software engineering, machine learning, or security engineering, or 12+ years with a PhD.
- 8+ years at a senior technical leadership level such as Principal, Distinguished, or equivalent.
- Track record of architecting, building, and shipping production AI or ML systems for endpoint or cloud-scale security.
- Hands-on expertise with large language models and agentic architectures, including planning, tool use, memory, context management, post-training, reward modeling, and inference optimization.
- Deep expertise in detection and response, threat hunting, malware analysis, vulnerability research, adversary tradecraft, or security automation.
- Expert-level proficiency in one or more of C, C++, Rust, Go, or Python.
- Deep experience with distributed systems, high-throughput data infrastructure, and GPU inference stacks such as vLLM, TensorRT-LLM, Triton, or SGLang.
- Ability to formulate hypotheses, establish baselines, design meaningful experiments, and follow evidence.
- Experience setting technical vision, raising standards for senior engineers and researchers, and communicating complex tradeoffs.
- Experience using AI technologies to improve decision-making, streamline workflows and processes, increase efficiency, and drive business outcomes.
- Preferred experience includes cybersecurity across endpoint, cloud, identity, SIEM, or threat intelligence; frontier AI lab work; adversarial machine learning; AI red teaming; autonomous cyber reasoning; AI-driven offensive security; extensible AI or agentic platforms; and recognized publications, patents, open-source projects, or conference talks.
Benefits
- Remote work arrangement.
- Market-leading compensation and equity awards.
- Comprehensive physical and mental wellness programs.
- Competitive vacation and holidays.
- Paid parental and adoption leave.
- Professional development opportunities for all employees.
- Employee networks, geographic neighborhood groups, and volunteer opportunities.
- Health insurance, 401k, and paid time off.
About CrowdStrike
CrowdStrike builds the Falcon cloud-native security platform used by enterprises and governments to protect endpoints, cloud workloads, identities, and data with EDR, next-generation antivirus, threat intelligence, and managed threat hunting. Founded in 2011 and publicly traded on NASDAQ as CRWD, the company sells primarily by subscription and also provides incident response services; its systems ingest and analyze nearly 3 trillion security events per day across customer environments.