Distinguished Engineer, AI Security Systems

What you'll do

• Architect end-to-end AI security systems including models, agents, telemetry, and cloud-scale reasoning.
• Deploy frontier AI to the endpoint using distillation, quantization, and specialized model integration.
• Build cloud-scale streaming detection systems for trillions of daily events with GPU-efficient serving.
• Develop autonomous defenders that investigate, hunt, write, and validate detections for automated response.
• Create systems that learn from adversary emulation, reinforcement learning, and synthetic data.
• Engineer for adversarial conditions like evasion, poisoning, and prompt injection in customer environments.
• Establish benchmarks and cyber ranges to measure efficacy, latency, and false-positive costs.
• Carry research breakthroughs into the production Falcon platform to solve scale and safety challenges.

What we're looking for

• BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a related technical field (PhD preferred).
• 15+ years of industry experience in software engineering, machine learning, or security engineering (12+ years with a PhD).
• 8+ years of experience at a senior technical leadership level such as Principal or Distinguished.
• Proven track record of architecting, building, and shipping production AI or ML systems for security on the endpoint or at cloud scale.
• Hands-on expertise with large language models and agentic architectures, including planning, tool use, memory, and inference optimization.
• Deep security expertise in detection and response, threat hunting, malware analysis, vulnerability research, 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 like vLLM, TensorRT-LLM, Triton, or SGLang.