Top Tech Jobs & Startup Jobs

The role entails leading software acquisition and sustainment for Naval systems, providing technical oversight, collaborating with stakeholders, and developing resilient software solutions.

Conduct offensive red-team assessments of AI-enabled systems, including models, hardware, software, and networks, supporting national security missions. Develop attack tactics, techniques, procedures, and operational tooling in Python, PowerShell, C, and Bash. Perform penetration testing, exploit development, reverse engineering, vulnerability analysis, and Windows/Linux security assessments. Communicate findings to mission partners, mentor colleagues, and travel to field sites. The role requires eligibility for a Department of War security clearance.

Conduct red-team assessments of AI-enabled systems, including models, hardware, software, and networks, supporting national security missions. Develop offensive tactics, techniques, procedures, and operational tools using Python, C, Bash, and PowerShell. Perform penetration testing, exploit development, reverse engineering, vulnerability analysis, and Windows/Linux security assessments. Communicate findings to mission partners, travel to field sites, and mentor colleagues.

Design, fine-tune, and deploy large-scale AI models and agentic pipelines (LLMs, RAG, PEFT/LoRA). Build data and CI/CD pipelines, containerized deployments, evaluation frameworks, robustness/adversarial tests, and mentor teams for mission-focused defense AI solutions.

The Data Scientist will apply advanced statistics and machine learning to solve cybersecurity challenges, develop prototypes, and present findings. Collaboration with government and academia is key.

Manage and coordinate Carnegie Mellon’s executive education programs including strategic planning, logistics for online and international in-person classes, stakeholder engagement, curriculum support, budgeting and reporting, marketing and alumni relations, vendor/contract management, and continuous program improvement.

Conduct AI security research to discover vulnerabilities, evaluate defenses, reverse-engineer malicious code, develop analysis tools and datasets, co-author proposals, and present findings to government, industry, and academic audiences.

Conduct research on AI system robustness and vulnerabilities, reverse engineer malicious code, develop analysis methods and tools, evaluate defenses, publish findings, advise government and industry, and mentor peers while advancing AI security practices.

Build and deploy machine-learning prototypes and tools for AI security; analyze large cybersecurity datasets; support AI red teaming and adversarial ML; collaborate with researchers to translate research into operational capabilities.

Perform AI security research: find and analyze AI system vulnerabilities, evaluate defenses, reverse engineer malicious code, develop tools/datasets, publish results, brief DoD and industry stakeholders, and apply AI to cybersecurity research.