Offensive Cyber Operations AI Principal Investigator

Nightwing provides technically advanced full-spectrum cyber, data operations, systems integration and intelligence mission support services to meet our customers’ most demanding challenges. Our capabilities include cyber space operations, cyber defense and resiliency, vulnerability research, ubiquitous technical surveillance, data intelligence, lifecycle mission enablement, and software modernization. Nightwing brings disruptive technologies, agility, and competitive offerings to customers in the intelligence community, defense, civil, and commercial markets. Nightwing seeks a strong technical leader with experience applying and interacting with LLMs and neural networks across various deployment schemes (e.g., on-prem, cloud hosted, and token-based subscription). This candidate must also have practical leadership experience in the domain of offensive cyber operations (OCO), and vulnerability research. Specifically, this role requires an advanced understanding of genetic search algorithms (e.g., AFL++), coverage-based feedback schemes, modern exploit mitigations (e.g., PAC, MTE), assembly language (e.g., ARM64, Intel x86/x64), and advanced reverse engineering techniques. Nightwing expects successful candidates to be able to bridge these two technical domains, using major advancements in open-weight and SOTA LLMs to drive technical innovation and advancements in the domain of applied offensive cyber tradecraft and capability development. Core Responsibilities Lead a team to design and implement LLM and neural network infrastructure including on-premises deployments, cloud-hosted environments, and token-based API subscriptions for an organization of 300+ engineers. Assess and integrate state-of-the-art (SOTA) open-weight models and commercial LLM offerings into OCO tools, actively defeating vendor supplied guardrails. Establish processes for rapidly prototyping and evaluating emerging AI capabilities, translating research advancements into new products, pushing these out to a large workforce and iterating their performance. Lead development of AI-enhanced fuzzing and vulnerability discovery frameworks leveraging genetic search algorithms (AFL++, libFuzzer, Honggfuzz) coverage guided analysis, source analysis, and exploit development techniques. Required Qualifications Technical Expertise 5+ years working with LLMs, neural networks, and modern ML frameworks with demonstrated experience across multiple deployment models 7+ years in vulnerability research,...

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