Responsibilities:

As a product security engineering team lead, you will focus on performing application pen testing and secure design review to ensure AI-enabled products are secure, resilient, and compliant. The responsibilities include

Architecture and development of scalable and efficient safeguard measures to enable AI software capabilities in a fast-paced and complex environmentDesign and develop security solutions for Small/Large Language Models (LLMs), such as techniques to enhance LLM robustness against potential threats like prompt injections and sensitive information disclosureLead the secure design review and implementation of security controls and technologies to safeguard AI applications and platformsCollaborate with cross-functional teams to address complex technical challenges to enable AI software innovationEnsure the adoption of best practices in code quality, scalability, and system design to secure AI software developmentParticipate in red-teaming assessments to help uncover threats and assist in remediations to solidify our productsConduct comprehensive security risk assessments and provide actionable recommendations for mitigating potential vulnerabilities in LLMsDrive collaboration and awareness regarding evolving AI risks to ensure the highest level of security across all AI projectsKeep up with the latest AI technologies and trends, proactively identifying opportunities to strengthen the security of AI productsContinuously evaluate and optimize internal processes and procedures related to AI security to maintain a robust and resilient frameworkDevelop and deliver comprehensive training and educational programs on secure AI principles and best practices to team members, promoting a culture of AI security awareness and excellence

What you will bring:

A bachelor’s degree with 8+ years’ experience in development or software security/penetration testing role, or equivalent experienceWe are looking for someone who enjoys breaking code, solving puzzles, and diagnosing problemsExperience in securing and managing evolving risks ( LLM, prompt, hallucination) related to AI apps and productsExcellent collaboration skills and a strong understanding of software development, architecture, and application securityStrong understanding of risk management and the real-world impacts of architectural decisionsExperience architecting and deploying applications securely in cloud environments (e.g., AWS, Azure) and containerization technologies (e.g., Docker, Kubernetes).Knowledge of common attack vectors, including OWASP Top 10Knowledge of Python programming or other language

Who We Are

At HP, we believe in the power of ideas. We use ideas to put technology to work for everyone. And we believe that ideas thrive best in a culture of teamwork. That is why everyone – at every level in every function, is encouraged to think big, have original ideas and express and share them. We trust anything can be achieved if you really believe in it, and we will invest in your ideas to change lives and the way people work. This vision is what sets us apart as a company. At HP, we work across borders and without limits. Global virtual teams share resources, pool their big ideas to solve our biggest business opportunities. Everyone is valued for the unique skills, experiences and perspective they bring. That’s how we work at HP. And this is how ideas and people grow.

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The typical base pay range for this role across the U.S. is $159,650 - $255,450 annually with additional opportunities for pay in the form of bonus and/or equity. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.