Jobs / HP***
Principal Software Engineer, Endpoint AI Security
HP*** · Spring, TX, United States
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Spring, TX, United States147,050-230,850 USD/yearlyRemote
Remuneration
147,050-230,850 USD/yearly
Location
Spring, TX, United States
Visa sponsorship
Sponsors visa
Job summary
Principal Software Engineer, Endpoint AI Security Description - HP*** is seeking a Principal Software Engineer to lead the design, development, and security of AI-enabled endpoint security solutions.
Benefits
HP offers a comprehensivePackage for this position, including:Health insuranceDental insuranceVision insuranceLong term/short term disability insuranceEmployee assistance programFlexible spending accountLife insuranceGenerous time off policies, including;4-12 weeks fully paid parental leave based on tenure11 paid holidays
Qualifications
- The ideal candidate combines deep software engineering expertise with strong security knowledge and experience delivering complex products at scale.
- 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
- 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
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
Skills
CommunicationLeadership
Degrees
AssociateDegree
Travel
Travel
Industry
AutomotiveEnergyInsurancePublic-sector
Company size
Smb
Relocation
Yes