Principal Software Engineer, Endpoint AI Security

HP•Spring, TX

22h•$147,050 - $230,850

About The Position

HP is seeking a Principal Software Engineer to lead the design, development, and security of AI-enabled endpoint security solutions. This is a senior technical leadership role responsible for building secure, scalable software while driving innovation in endpoint protection, security automation, behavioral detection, and AI-powered security capabilities. The ideal candidate combines deep software engineering expertise with strong security knowledge and experience delivering complex products at scale.

Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
10+ years of software engineering experience delivering complex software products or platforms.
Strong expertise in software architecture, distributed systems, scalability, reliability, and secure software design.
Deep Linux development experience, including system services, networking, performance-sensitive applications, and endpoint security solutions.
Strong programming skills, particularly in C++, with experience in Python, C#, Java, and/or JavaScript/TypeScript.
Experience with cloud platforms (Azure and/or AWS), CI/CD, Docker, Kubernetes, and modern DevOps practices.
Knowledge of endpoint security principles, authentication, authorization, encryption, threat modeling, and secure coding.
Familiarity with AI security concepts such as prompt injection, adversarial attacks, model protection, and secure AI integration.
Strong communication, leadership, problem-solving, and mentoring capabilities.

Nice To Haves

Experience with EDR, XDR, anti-malware, behavioral detection, endpoint monitoring, or security automation products.
Experience integrating AI/ML or generative AI into production software.
Knowledge of Go, Rust, Django, .NET MAUI, React, Next.js, or Vue.
Experience with AI red-teaming, adversarial testing, and AI risk frameworks (NIST AI RMF, MITRE ATLAS, OWASP GenAI).
Familiarity with Linux security technologies, TPM, Secure Boot, trusted execution environments, and privacy-preserving telemetry.

Responsibilities

Lead architecture, design, development, testing, and deployment of complex software products and endpoint security solutions.
Drive development of AI-enabled security capabilities, including behavioral analytics, anomaly detection, automation, and security copilots.
Ensure AI models, agents, prompts, data, and inference pipelines are secure, privacy-aware, resilient, and protected from misuse.
Establish secure development practices, guardrails, monitoring, access controls, and validation processes for AI-powered features.
Partner closely with Product Management, Security, Privacy, AI/ML, and Engineering teams to deliver secure, high-quality solutions.
Define and lead AI security testing, including adversarial testing, prompt-injection testing, abuse-case testing, and security validation.
Mentor engineers, conduct design and code reviews, and champion engineering excellence and DevSecOps best practices.
Evaluate emerging technologies and drive innovation across endpoint security and AI initiatives.