Principal Detection Engineer at Hewlett Packard Enterprise

Spring, Texas, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Cybersecurity, TechnologyIndustries

Requirements

Strong analytical and problem-solving mindset
Experience with feature engineering on large, noisy security datasets
Background in adversarial ML and detection resiliency against evasion
Familiarity with modern data infrastructure
Contributions to detection engineering frameworks, open-source tools, or research publications
Proven leadership experience in shaping detection strategies and guiding cross-functional efforts
Ability to explain complex technical issues to non-technical audiences
Track record of mentoring and technical leadership
Expertise in Machine Learning (ML) and Artificial Intelligence (AI) technologies
Strong understanding of cybersecurity, data analytics, and model-based detections

Responsibilities

Design, develop, and implement advanced threat detection systems leveraging ML/AI techniques to identify malicious activity, anomalies, and emerging risks
Build and optimize machine learning models for real-time detection, including supervised, unsupervised, and reinforcement learning approaches
Perform data engineering and pre-processing for cybersecurity applications
Analyze large-scale datasets to extract meaningful insights, detect patterns, and enhance the accuracy of detection systems
Develop and refine detection algorithms for intrusion detection, anomaly detection, endpoint security, behavioral analysis, and other cybersecurity applications
Automate detection workflows and processes to improve efficiency and scalability of security monitoring systems
Work closely with threat intelligence, red team, security operations, and data scientists to integrate detection models into security platforms and tools
Test, validate, and monitor the performance of detection models, ensuring reliability and minimizing false positives/negatives
Stay up to date with emerging threats, ML/AI technologies, and advancements in cybersecurity to continuously improve detection systems
Maintain clear documentation of models, processes, and systems

Skills

Key technologies and capabilities for this role

Machine LearningArtificial IntelligenceCybersecurityThreat DetectionAnomaly DetectionData AnalyticsML Models

Questions & Answers

Common questions about this position

What is the work arrangement for this role?

This role is designed as ‘Hybrid’ with an expectation to work on average 2 days per week from an HPE office.

What salary or compensation does this position offer?

This information is not specified in the job description.

What key skills are required for the Principal Detection Engineer role?

The role requires expertise in Machine Learning (ML) and Artificial Intelligence (AI), experience with feature engineering on large noisy security datasets, background in adversarial ML and detection resiliency, familiarity with modern data infrastructure, and strong analytical and problem-solving skills.

What is the company culture like at HPE?

HPE's culture thrives on finding new and better ways to accelerate what’s next, values varied backgrounds, offers flexibility to manage work and personal needs, embraces bold moves together, and supports career growth.

What makes a strong candidate for this position?

Strong candidates have contributions to detection engineering frameworks, open-source tools, or research publications, proven leadership in shaping detection strategies, experience explaining complex issues to non-technical audiences, and a track record of mentoring and technical leadership.

Hewlett Packard Enterprise

Provides enterprise IT solutions and services

About Hewlett Packard Enterprise

Hewlett Packard Enterprise provides enterprise IT solutions with a focus on cloud services, artificial intelligence, and edge computing. Their products include HPE Ezmeral for managing containers, HPE GreenLake for cloud services, and HPE Aruba for networking. These solutions help businesses improve their performance and adapt to digital changes. HPE's business model includes selling hardware, software, and services, as well as offering subscription-based services and long-term contracts. What sets HPE apart from competitors is its commitment to open-source projects and its active developer community, which supports collaboration and innovation. The company's goal is to empower organizations to transform digitally and optimize their operations.

Houston, TexasHeadquarters

1939Year Founded

IPOCompany Stage

Hardware, Enterprise Software, AI & Machine LearningIndustries

10,001+Employees

Risks

Integration challenges with Juniper Networks may delay AI-driven networking benefits.

Competition from startups like Flywheel could impact HPE's AI and cloud services.

HPE's acquisition strategy may strain resources and distract from core operations.

Differentiation

HPE's GreenLake offers a unique hybrid cloud platform for diverse IT environments.

HPE Ezmeral provides advanced container management, enhancing enterprise AI and analytics capabilities.

HPE's Aruba solutions integrate cloud security and networking for seamless, secure connectivity.

Upsides

HPE's acquisition of Juniper Networks boosts AI-driven innovation in networking.

OpsRamp acquisition enhances HPE's IT management with AI-based automation capabilities.

Axis Security integration strengthens HPE's cloud security offerings with SASE solutions.

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