Distinguished Engineer, AI Security Systems (Remote)

What you'll do

• Design end-to-end AI security systems, including endpoint inference, cloud-scale detection, models, agents, telemetry, and execution environments.
• Build autonomous cyber defenders and evaluation systems, and carry research into production while addressing adversarial risks, reliability, latency, and cost.
• Set technical direction, mentor senior engineers and researchers, and collaborate across research and engineering teams.

What they ask for

• BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a related technical field.
• A 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, deep security expertise, and 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; a record of senior technical leadership and setting technical direction.

Nice to have

• PhD.
• Cybersecurity industry experience; frontier AI lab experience; adversarial machine learning or AI red teaming; or recognized technical contributions spanning AI and security.

Pay

$235,000 - $350,000 per year (base salary)

Tools

C, C++, Rust, Go, Python, vLLM, TensorRT-LLM, Triton

AI focus

Builds and deploys AI-powered cyber defense, including frontier and specialized models, autonomous agents, endpoint inference, cloud-scale reasoning, reinforcement learning, evaluation, and secure production deployment.